Overview

Dataset statistics

Number of variables128
Number of observations1994
Missing cells39202
Missing cells (%)15.4%
Total size in memory1.9 MiB
Average record size in memory1.0 KiB

Variable types

Numeric127
Categorical1

Alerts

communityname string has a high cardinality: 1828 distinct values High cardinality
county numeric has 1174 (58.9%) missing values Missing
community numeric has 1177 (59.0%) missing values Missing
LemasSwornFT numeric has 1675 (84.0%) missing values Missing
LemasSwFTPerPop numeric has 1675 (84.0%) missing values Missing
LemasSwFTFieldOps numeric has 1675 (84.0%) missing values Missing
LemasSwFTFieldPerPop numeric has 1675 (84.0%) missing values Missing
LemasTotalReq numeric has 1675 (84.0%) missing values Missing
LemasTotReqPerPop numeric has 1675 (84.0%) missing values Missing
PolicReqPerOffic numeric has 1675 (84.0%) missing values Missing
PolicPerPop numeric has 1675 (84.0%) missing values Missing
RacialMatchCommPol numeric has 1675 (84.0%) missing values Missing
PctPolicWhite numeric has 1675 (84.0%) missing values Missing
PctPolicBlack numeric has 1675 (84.0%) missing values Missing
PctPolicHisp numeric has 1675 (84.0%) missing values Missing
PctPolicAsian numeric has 1675 (84.0%) missing values Missing
PctPolicMinor numeric has 1675 (84.0%) missing values Missing
OfficAssgnDrugUnits numeric has 1675 (84.0%) missing values Missing
NumKindsDrugsSeiz numeric has 1675 (84.0%) missing values Missing
PolicAveOTWorked numeric has 1675 (84.0%) missing values Missing
PolicCars numeric has 1675 (84.0%) missing values Missing
PolicOperBudg numeric has 1675 (84.0%) missing values Missing
LemasPctPolicOnPatr numeric has 1675 (84.0%) missing values Missing
LemasGangUnitDeploy numeric has 1675 (84.0%) missing values Missing
PolicBudgPerPop numeric has 1675 (84.0%) missing values Missing
population numeric has 385 (19.3%) zeros Zeros
racepctblack numeric has 134 (6.7%) zeros Zeros
racePctWhite numeric has 33 (1.7%) zeros Zeros
racePctHisp numeric has 59 (3.0%) zeros Zeros
numbUrban numeric has 568 (28.5%) zeros Zeros
pctUrban numeric has 558 (28.0%) zeros Zeros
blackPerCap numeric has 41 (2.1%) zeros Zeros
indianPerCap numeric has 166 (8.3%) zeros Zeros
AsianPerCap numeric has 37 (1.9%) zeros Zeros
OtherPerCap numeric has 129 (6.5%) zeros Zeros
NumUnderPov numeric has 314 (15.7%) zeros Zeros
PctTeen2Par numeric has 21 (1.1%) zeros Zeros
NumIlleg numeric has 750 (37.6%) zeros Zeros
NumImmig numeric has 826 (41.4%) zeros Zeros
PctImmigRecent numeric has 114 (5.7%) zeros Zeros
PctImmigRec5 numeric has 51 (2.6%) zeros Zeros
PctImmigRec8 numeric has 29 (1.5%) zeros Zeros
PctRecentImmig numeric has 140 (7.0%) zeros Zeros
PctRecImmig5 numeric has 79 (4.0%) zeros Zeros
PctRecImmig8 numeric has 56 (2.8%) zeros Zeros
PctRecImmig10 numeric has 49 (2.5%) zeros Zeros
PctSpeakEnglOnly numeric has 57 (2.9%) zeros Zeros
MedNumBR numeric has 766 (38.4%) zeros Zeros
HousVacant numeric has 82 (4.1%) zeros Zeros
PctHousOccup numeric has 39 (2.0%) zeros Zeros
PctVacantBoarded numeric has 115 (5.8%) zeros Zeros
MedYrHousBuilt numeric has 117 (5.9%) zeros Zeros
PctHousNoPhone numeric has 43 (2.2%) zeros Zeros
PctWOFullPlumb numeric has 133 (6.7%) zeros Zeros
NumInShelters numeric has 1260 (63.2%) zeros Zeros
NumStreet numeric has 1597 (80.1%) zeros Zeros
PctSameCity85 numeric has 33 (1.7%) zeros Zeros
PctSameState85 numeric has 34 (1.7%) zeros Zeros
PctPolicBlack numeric has 23 (1.2%) zeros Zeros
PctPolicHisp numeric has 72 (3.6%) zeros Zeros
PctPolicAsian numeric has 189 (9.5%) zeros Zeros
LandArea numeric has 72 (3.6%) zeros Zeros
PctUsePubTrans numeric has 183 (9.2%) zeros Zeros
LemasGangUnitDeploy numeric has 126 (6.3%) zeros Zeros
LemasPctOfficDrugUn numeric has 1685 (84.5%) zeros Zeros

Reproduction

Analysis started2022-03-11 03:04:13.558817
Analysis finished2022-03-11 03:04:14.277230
Duration0.72 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

state numeric
Real number (ℝ≥0)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.68355065
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:14.369721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q112
median34
Q342
95-th percentile53
Maximum56
Range55
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.39755285
Coefficient of variation (CV)0.5716709568
Kurtosis-1.313552561
Mean28.68355065
Median Absolute Deviation (MAD)14
Skewness-0.1692455213
Sum57195
Variance268.8797393
MonotonicityNot monotonic
2022-03-11T04:04:14.563385image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6278
 
13.9%
34211
 
10.6%
48156
 
7.8%
25121
 
6.1%
39109
 
5.5%
42101
 
5.1%
1290
 
4.5%
969
 
3.5%
5560
 
3.0%
1848
 
2.4%
Other values (36)751
37.7%
ValueCountFrequency (%)
143
 
2.2%
23
 
0.2%
420
 
1.0%
525
 
1.3%
6278
13.9%
ValueCountFrequency (%)
567
 
0.4%
5560
3.0%
5414
 
0.7%
5340
2.0%
5133
1.7%

county numeric
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)13.2%
Missing1174
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean58.82682927
Minimum1
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:14.695869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median23
Q359.5
95-th percentile153
Maximum840
Range839
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation126.4205601
Coefficient of variation (CV)2.149028966
Kurtosis21.96499403
Mean58.82682927
Median Absolute Deviation (MAD)16
Skewness4.61415921
Sum48238
Variance15982.15801
MonotonicityNot monotonic
2022-03-11T04:04:14.785881image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
372
 
3.6%
1761
 
3.1%
945
 
2.3%
139
 
2.0%
738
 
1.9%
537
 
1.9%
2735
 
1.8%
1330
 
1.5%
2130
 
1.5%
2329
 
1.5%
Other values (98)404
 
20.3%
(Missing)1174
58.9%
ValueCountFrequency (%)
139
2.0%
372
3.6%
537
1.9%
738
1.9%
945
2.3%
ValueCountFrequency (%)
8401
0.1%
8301
0.1%
8201
0.1%
8101
0.1%
8001
0.1%

community numeric
Real number (ℝ≥0)

MISSING

Distinct799
Distinct (%)97.8%
Missing1177
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean46188.3366
Minimum70
Maximum94597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:14.877885image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile4928
Q125065
median48090
Q366660
95-th percentile84203.6
Maximum94597
Range94527
Interquartile range (IQR)41595

Descriptive statistics

Standard deviation25299.72657
Coefficient of variation (CV)0.5477514116
Kurtosis-1.096188382
Mean46188.3366
Median Absolute Deviation (MAD)21210
Skewness-0.1032639438
Sum37735871
Variance640076164.5
MonotonicityNot monotonic
2022-03-11T04:04:14.967323image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160002
 
0.1%
624302
 
0.1%
820002
 
0.1%
210002
 
0.1%
601202
 
0.1%
51402
 
0.1%
213442
 
0.1%
770002
 
0.1%
110002
 
0.1%
790002
 
0.1%
Other values (789)797
40.0%
(Missing)1177
59.0%
ValueCountFrequency (%)
701
0.1%
1001
0.1%
10002
0.1%
11851
0.1%
12201
0.1%
ValueCountFrequency (%)
945971
0.1%
939551
0.1%
939261
0.1%
934801
0.1%
932181
0.1%

communityname string
Categorical

HIGH CARDINALITY

Distinct1828
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
Greenvillecity
 
5
Jacksonvillecity
 
5
Auburncity
 
5
Athenscity
 
4
Springfieldcity
 
4
Other values (1823)
1971 

Unique

Unique1707 ?
Unique (%)85.6%

Sample

1st rowLakewoodcity
2nd rowTukwilacity
3rd rowAberdeentown
4th rowWillingborotownship
5th rowBethlehemtownship

Common Values

ValueCountFrequency (%)
Greenvillecity5
 
0.3%
Jacksonvillecity5
 
0.3%
Auburncity5
 
0.3%
Athenscity4
 
0.2%
Springfieldcity4
 
0.2%
Lebanoncity4
 
0.2%
Albanycity4
 
0.2%
Lafayettecity4
 
0.2%
Salemcity4
 
0.2%
Lakewoodcity3
 
0.2%
Other values (1818)1952
97.9%

fold numeric
Real number (ℝ≥0)

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.493981946
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.042053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.873694017
Coefficient of variation (CV)0.5230621515
Kurtosis-1.225126635
Mean5.493981946
Median Absolute Deviation (MAD)2.5
Skewness0.003050718995
Sum10955
Variance8.258117302
MonotonicityIncreasing
2022-03-11T04:04:15.108475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1200
10.0%
2200
10.0%
3200
10.0%
4200
10.0%
5199
10.0%
6199
10.0%
7199
10.0%
8199
10.0%
9199
10.0%
10199
10.0%
ValueCountFrequency (%)
1200
10.0%
2200
10.0%
3200
10.0%
4200
10.0%
5199
10.0%
ValueCountFrequency (%)
10199
10.0%
9199
10.0%
8199
10.0%
7199
10.0%
6199
10.0%

population numeric
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05759277834
Minimum0
Maximum1
Zeros385
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.198174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.05
95-th percentile0.21
Maximum1
Range1
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.1269058331
Coefficient of variation (CV)2.203502536
Kurtosis29.6471625
Mean0.05759277834
Median Absolute Deviation (MAD)0.02
Skewness5.063956881
Sum114.84
Variance0.01610509048
MonotonicityNot monotonic
2022-03-11T04:04:15.291753image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01454
22.8%
0385
19.3%
0.02271
13.6%
0.03193
9.7%
0.04121
 
6.1%
0.0585
 
4.3%
0.0675
 
3.8%
0.0761
 
3.1%
0.0846
 
2.3%
0.0932
 
1.6%
Other values (56)271
13.6%
ValueCountFrequency (%)
0385
19.3%
0.01454
22.8%
0.02271
13.6%
0.03193
9.7%
0.04121
 
6.1%
ValueCountFrequency (%)
113
0.7%
0.991
 
0.1%
0.962
 
0.1%
0.911
 
0.1%
0.812
 
0.1%

householdsize numeric
Real number (ℝ≥0)

Distinct93
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4633951856
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.374855image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.35
median0.44
Q30.54
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1637167322
Coefficient of variation (CV)0.3532983019
Kurtosis1.665681649
Mean0.4633951856
Median Absolute Deviation (MAD)0.09
Skewness0.9813004115
Sum924.01
Variance0.02680316839
MonotonicityNot monotonic
2022-03-11T04:04:15.467111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4176
 
3.8%
0.3969
 
3.5%
0.3568
 
3.4%
0.3767
 
3.4%
0.3365
 
3.3%
0.4962
 
3.1%
0.3462
 
3.1%
0.4559
 
3.0%
0.4358
 
2.9%
0.3658
 
2.9%
Other values (83)1350
67.7%
ValueCountFrequency (%)
02
0.1%
0.031
0.1%
0.042
0.1%
0.072
0.1%
0.081
0.1%
ValueCountFrequency (%)
137
1.9%
0.991
 
0.1%
0.982
 
0.1%
0.975
 
0.3%
0.963
 
0.2%

racepctblack numeric
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1796288867
Minimum0
Maximum1
Zeros134
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.567623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.06
Q30.23
95-th percentile0.82
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.25344206
Coefficient of variation (CV)1.410920396
Kurtosis2.636618288
Mean0.1796288867
Median Absolute Deviation (MAD)0.05
Skewness1.863340079
Sum358.18
Variance0.06423287776
MonotonicityNot monotonic
2022-03-11T04:04:15.668323image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01285
 
14.3%
0.02236
 
11.8%
0.03141
 
7.1%
0134
 
6.7%
0.0486
 
4.3%
0.0574
 
3.7%
0.0668
 
3.4%
156
 
2.8%
0.0750
 
2.5%
0.0949
 
2.5%
Other values (90)815
40.9%
ValueCountFrequency (%)
0134
6.7%
0.01285
14.3%
0.02236
11.8%
0.03141
7.1%
0.0486
 
4.3%
ValueCountFrequency (%)
156
2.8%
0.991
 
0.1%
0.981
 
0.1%
0.972
 
0.1%
0.963
 
0.2%

racePctWhite numeric
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7537161484
Minimum0
Maximum1
Zeros33
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.767092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.23
Q10.63
median0.85
Q30.94
95-th percentile0.98
Maximum1
Range1
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.2440393922
Coefficient of variation (CV)0.3237815625
Kurtosis1.009928486
Mean0.7537161484
Median Absolute Deviation (MAD)0.12
Skewness-1.300488873
Sum1502.91
Variance0.05955522496
MonotonicityNot monotonic
2022-03-11T04:04:15.858603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98122
 
6.1%
0.9699
 
5.0%
0.9796
 
4.8%
0.9982
 
4.1%
0.9581
 
4.1%
0.9368
 
3.4%
0.9161
 
3.1%
0.9458
 
2.9%
0.9257
 
2.9%
0.955
 
2.8%
Other values (89)1215
60.9%
ValueCountFrequency (%)
033
1.7%
0.013
 
0.2%
0.024
 
0.2%
0.052
 
0.1%
0.061
 
0.1%
ValueCountFrequency (%)
112
 
0.6%
0.9982
4.1%
0.98122
6.1%
0.9796
4.8%
0.9699
5.0%

racePctAsian numeric
Real number (ℝ≥0)

Distinct91
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1536810431
Minimum0
Maximum1
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:15.949590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.04
median0.07
Q30.17
95-th percentile0.62
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.2088774637
Coefficient of variation (CV)1.359162194
Kurtosis6.813730576
Mean0.1536810431
Median Absolute Deviation (MAD)0.05
Skewness2.604394633
Sum306.44
Variance0.04362979485
MonotonicityNot monotonic
2022-03-11T04:04:16.047273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02191
 
9.6%
0.03175
 
8.8%
0.04168
 
8.4%
0.05144
 
7.2%
0.06121
 
6.1%
0.01104
 
5.2%
0.0993
 
4.7%
0.0787
 
4.4%
0.0879
 
4.0%
0.1172
 
3.6%
Other values (81)760
38.1%
ValueCountFrequency (%)
08
 
0.4%
0.01104
5.2%
0.02191
9.6%
0.03175
8.8%
0.04168
8.4%
ValueCountFrequency (%)
151
2.6%
0.981
 
0.1%
0.961
 
0.1%
0.941
 
0.1%
0.931
 
0.1%

racePctHisp numeric
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1440220662
Minimum0
Maximum1
Zeros59
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:16.144284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.04
Q30.16
95-th percentile0.7235
Maximum1
Range1
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.232491623
Coefficient of variation (CV)1.614277792
Kurtosis5.321092588
Mean0.1440220662
Median Absolute Deviation (MAD)0.03
Skewness2.415776326
Sum287.18
Variance0.05405235476
MonotonicityNot monotonic
2022-03-11T04:04:16.249680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01446
22.4%
0.02254
 
12.7%
0.03158
 
7.9%
0.04124
 
6.2%
0.0595
 
4.8%
0.0670
 
3.5%
163
 
3.2%
059
 
3.0%
0.0746
 
2.3%
0.0940
 
2.0%
Other values (81)639
32.0%
ValueCountFrequency (%)
059
 
3.0%
0.01446
22.4%
0.02254
12.7%
0.03158
 
7.9%
0.04124
 
6.2%
ValueCountFrequency (%)
163
3.2%
0.992
 
0.1%
0.962
 
0.1%
0.952
 
0.1%
0.942
 
0.1%

agePct12t21 numeric
Real number (ℝ≥0)

Distinct93
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.424217653
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:16.346040image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.34
median0.4
Q30.47
95-th percentile0.7135
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.1551957305
Coefficient of variation (CV)0.3658398688
Kurtosis3.81759915
Mean0.424217653
Median Absolute Deviation (MAD)0.07
Skewness1.57690793
Sum845.89
Variance0.02408571477
MonotonicityNot monotonic
2022-03-11T04:04:16.449864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3893
 
4.7%
0.4193
 
4.7%
0.490
 
4.5%
0.3989
 
4.5%
0.3683
 
4.2%
0.3780
 
4.0%
0.3576
 
3.8%
0.3466
 
3.3%
0.4565
 
3.3%
0.4263
 
3.2%
Other values (83)1196
60.0%
ValueCountFrequency (%)
02
0.1%
0.031
 
0.1%
0.041
 
0.1%
0.063
0.2%
0.071
 
0.1%
ValueCountFrequency (%)
144
2.2%
0.982
 
0.1%
0.972
 
0.1%
0.952
 
0.1%
0.943
 
0.2%

agePct12t29 numeric
Real number (ℝ≥0)

Distinct89
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4938665998
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:16.541234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.31
Q10.41
median0.48
Q30.54
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.1435635084
Coefficient of variation (CV)0.2906928884
Kurtosis3.19306247
Mean0.4938665998
Median Absolute Deviation (MAD)0.07
Skewness1.306882153
Sum984.77
Variance0.02061048094
MonotonicityNot monotonic
2022-03-11T04:04:16.638171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4990
 
4.5%
0.4687
 
4.4%
0.4887
 
4.4%
0.580
 
4.0%
0.4179
 
4.0%
0.4478
 
3.9%
0.4277
 
3.9%
0.4777
 
3.9%
0.4574
 
3.7%
0.5271
 
3.6%
Other values (79)1194
59.9%
ValueCountFrequency (%)
01
0.1%
0.031
0.1%
0.041
0.1%
0.051
0.1%
0.061
0.1%
ValueCountFrequency (%)
147
2.4%
0.991
 
0.1%
0.984
 
0.2%
0.963
 
0.2%
0.943
 
0.2%

agePct16t24 numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3362637914
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:16.733268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18
Q10.25
median0.29
Q30.36
95-th percentile0.7035
Maximum1
Range1
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.1665045519
Coefficient of variation (CV)0.4951605144
Kurtosis6.383901596
Mean0.3362637914
Median Absolute Deviation (MAD)0.05
Skewness2.374211222
Sum670.51
Variance0.0277237658
MonotonicityNot monotonic
2022-03-11T04:04:16.824485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29118
 
5.9%
0.26115
 
5.8%
0.28114
 
5.7%
0.27110
 
5.5%
0.3105
 
5.3%
0.31101
 
5.1%
0.2491
 
4.6%
0.2385
 
4.3%
0.3284
 
4.2%
0.2584
 
4.2%
Other values (84)987
49.5%
ValueCountFrequency (%)
01
0.1%
0.011
0.1%
0.032
0.1%
0.041
0.1%
0.051
0.1%
ValueCountFrequency (%)
152
2.6%
0.992
 
0.1%
0.982
 
0.1%
0.961
 
0.1%
0.952
 
0.1%

agePct65up numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4231644935
Minimum0
Maximum1
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:16.917690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14
Q10.3
median0.42
Q30.53
95-th percentile0.73
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1791854963
Coefficient of variation (CV)0.4234417089
Kurtosis0.6559360018
Mean0.4231644935
Median Absolute Deviation (MAD)0.12
Skewness0.4627998685
Sum843.79
Variance0.03210744207
MonotonicityNot monotonic
2022-03-11T04:04:17.033312image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4759
 
3.0%
0.3549
 
2.5%
0.3349
 
2.5%
0.5249
 
2.5%
0.4248
 
2.4%
0.4547
 
2.4%
0.3646
 
2.3%
0.5146
 
2.3%
0.4846
 
2.3%
0.3945
 
2.3%
Other values (88)1510
75.7%
ValueCountFrequency (%)
03
0.2%
0.011
 
0.1%
0.021
 
0.1%
0.033
0.2%
0.045
0.3%
ValueCountFrequency (%)
127
1.4%
0.991
 
0.1%
0.982
 
0.1%
0.961
 
0.1%
0.951
 
0.1%

numbUrban numeric
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06407221665
Minimum0
Maximum1
Zeros568
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:17.374324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03
Q30.07
95-th percentile0.22
Maximum1
Range1
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.1282561521
Coefficient of variation (CV)2.001743638
Kurtosis27.67840013
Mean0.06407221665
Median Absolute Deviation (MAD)0.03
Skewness4.840363748
Sum127.76
Variance0.01644964054
MonotonicityNot monotonic
2022-03-11T04:04:17.494964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0568
28.5%
0.02329
16.5%
0.03193
 
9.7%
0.04149
 
7.5%
0.05124
 
6.2%
0.0685
 
4.3%
0.0871
 
3.6%
0.0767
 
3.4%
0.0946
 
2.3%
0.139
 
2.0%
Other values (57)323
16.2%
ValueCountFrequency (%)
0568
28.5%
0.0137
 
1.9%
0.02329
16.5%
0.03193
 
9.7%
0.04149
 
7.5%
ValueCountFrequency (%)
113
0.7%
0.991
 
0.1%
0.971
 
0.1%
0.961
 
0.1%
0.911
 
0.1%

pctUrban numeric
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6962688064
Minimum0
Maximum1
Zeros558
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:17.607754image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.444810541
Coefficient of variation (CV)0.6388488712
Kurtosis-1.163246518
Mean0.6962688064
Median Absolute Deviation (MAD)0
Skewness-0.8856345484
Sum1388.36
Variance0.1978564174
MonotonicityNot monotonic
2022-03-11T04:04:17.716105image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11193
59.8%
0558
28.0%
0.9923
 
1.2%
0.9820
 
1.0%
0.9715
 
0.8%
0.9111
 
0.6%
0.969
 
0.5%
0.799
 
0.5%
0.869
 
0.5%
0.938
 
0.4%
Other values (54)139
 
7.0%
ValueCountFrequency (%)
0558
28.0%
0.021
 
0.1%
0.051
 
0.1%
0.071
 
0.1%
0.081
 
0.1%
ValueCountFrequency (%)
11193
59.8%
0.9923
 
1.2%
0.9820
 
1.0%
0.9715
 
0.8%
0.969
 
0.5%

medIncome numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3611233701
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:17.820112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11
Q10.2
median0.32
Q30.49
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.2093624993
Coefficient of variation (CV)0.5797533936
Kurtosis0.4611411376
Mean0.3611233701
Median Absolute Deviation (MAD)0.14
Skewness0.9435878422
Sum720.08
Variance0.04383265612
MonotonicityNot monotonic
2022-03-11T04:04:17.916964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2374
 
3.7%
0.1667
 
3.4%
0.1766
 
3.3%
0.2554
 
2.7%
0.2252
 
2.6%
0.1851
 
2.6%
0.2150
 
2.5%
0.1545
 
2.3%
0.244
 
2.2%
0.3342
 
2.1%
Other values (89)1449
72.7%
ValueCountFrequency (%)
01
 
0.1%
0.023
 
0.2%
0.031
 
0.1%
0.044
 
0.2%
0.0514
0.7%
ValueCountFrequency (%)
128
1.4%
0.991
 
0.1%
0.981
 
0.1%
0.971
 
0.1%
0.965
 
0.3%

pctWWage numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5581544634
Minimum0
Maximum1
Zeros15
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:18.024201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.44
median0.56
Q30.69
95-th percentile0.84
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1829128319
Coefficient of variation (CV)0.3277100586
Kurtosis0.07811422512
Mean0.5581544634
Median Absolute Deviation (MAD)0.13
Skewness-0.3737360748
Sum1112.96
Variance0.03345710408
MonotonicityNot monotonic
2022-03-11T04:04:18.116209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5852
 
2.6%
0.5352
 
2.6%
0.4951
 
2.6%
0.649
 
2.5%
0.5748
 
2.4%
0.5248
 
2.4%
0.5146
 
2.3%
0.6445
 
2.3%
0.5445
 
2.3%
0.5645
 
2.3%
Other values (86)1513
75.9%
ValueCountFrequency (%)
015
0.8%
0.011
 
0.1%
0.022
 
0.1%
0.043
 
0.2%
0.052
 
0.1%
ValueCountFrequency (%)
12
0.1%
0.983
0.2%
0.971
 
0.1%
0.961
 
0.1%
0.954
0.2%

pctWFarmSelf numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2915697091
Minimum0
Maximum1
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:18.234294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07
Q10.16
median0.23
Q30.37
95-th percentile0.7335
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.2041075772
Coefficient of variation (CV)0.7000301156
Kurtosis2.424844878
Mean0.2915697091
Median Absolute Deviation (MAD)0.1
Skewness1.537785372
Sum581.39
Variance0.04165990307
MonotonicityNot monotonic
2022-03-11T04:04:18.352371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1674
 
3.7%
0.1773
 
3.7%
0.1969
 
3.5%
0.1869
 
3.5%
0.2264
 
3.2%
0.2162
 
3.1%
0.1261
 
3.1%
0.1559
 
3.0%
0.1454
 
2.7%
0.1352
 
2.6%
Other values (89)1357
68.1%
ValueCountFrequency (%)
018
0.9%
0.013
 
0.2%
0.021
 
0.1%
0.039
0.5%
0.0411
0.6%
ValueCountFrequency (%)
143
2.2%
0.981
 
0.1%
0.971
 
0.1%
0.961
 
0.1%
0.952
 
0.1%

pctWInvInc numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4956870612
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:18.465000image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.23
Q10.37
median0.48
Q30.62
95-th percentile0.81
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1780705937
Coefficient of variation (CV)0.3592399472
Kurtosis-0.328887353
Mean0.4956870612
Median Absolute Deviation (MAD)0.12
Skewness0.241587543
Sum988.4
Variance0.03170913634
MonotonicityNot monotonic
2022-03-11T04:04:18.572148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4155
 
2.8%
0.4654
 
2.7%
0.4852
 
2.6%
0.3946
 
2.3%
0.3846
 
2.3%
0.545
 
2.3%
0.4244
 
2.2%
0.5244
 
2.2%
0.5144
 
2.2%
0.5844
 
2.2%
Other values (86)1520
76.2%
ValueCountFrequency (%)
01
 
0.1%
0.021
 
0.1%
0.032
0.1%
0.061
 
0.1%
0.074
0.2%
ValueCountFrequency (%)
13
0.2%
0.971
 
0.1%
0.963
0.2%
0.951
 
0.1%
0.945
0.3%

pctWSocSec numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4711334002
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:18.658011image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19
Q10.35
median0.475
Q30.58
95-th percentile0.74
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1736186085
Coefficient of variation (CV)0.3685126303
Kurtosis0.08108570535
Mean0.4711334002
Median Absolute Deviation (MAD)0.115
Skewness0.1104187014
Sum939.44
Variance0.03014342123
MonotonicityNot monotonic
2022-03-11T04:04:18.741773image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5662
 
3.1%
0.5149
 
2.5%
0.4649
 
2.5%
0.5348
 
2.4%
0.5248
 
2.4%
0.4747
 
2.4%
0.4947
 
2.4%
0.4547
 
2.4%
0.546
 
2.3%
0.5845
 
2.3%
Other values (86)1506
75.5%
ValueCountFrequency (%)
02
 
0.1%
0.031
 
0.1%
0.041
 
0.1%
0.052
 
0.1%
0.067
0.4%
ValueCountFrequency (%)
113
0.7%
0.972
 
0.1%
0.963
 
0.2%
0.941
 
0.1%
0.931
 
0.1%

pctWPubAsst numeric
Real number (ℝ≥0)

Distinct101
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.317778335
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:18.849937image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.1425
median0.26
Q30.44
95-th percentile0.79
Maximum1
Range1
Interquartile range (IQR)0.2975

Descriptive statistics

Standard deviation0.2221367497
Coefficient of variation (CV)0.6990305042
Kurtosis0.7840315799
Mean0.317778335
Median Absolute Deviation (MAD)0.14
Skewness1.097663934
Sum633.65
Variance0.04934473559
MonotonicityNot monotonic
2022-03-11T04:04:18.933552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.170
 
3.5%
0.1257
 
2.9%
0.1655
 
2.8%
0.2150
 
2.5%
0.1749
 
2.5%
0.1349
 
2.5%
0.0948
 
2.4%
0.1548
 
2.4%
0.2747
 
2.4%
0.1447
 
2.4%
Other values (91)1474
73.9%
ValueCountFrequency (%)
01
 
0.1%
0.013
 
0.2%
0.027
0.4%
0.0316
0.8%
0.0412
0.6%
ValueCountFrequency (%)
129
1.5%
0.994
 
0.2%
0.981
 
0.1%
0.974
 
0.2%
0.962
 
0.1%

pctWRetire numeric
Real number (ℝ≥0)

Distinct93
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4792477432
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:19.031903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.23
Q10.36
median0.47
Q30.58
95-th percentile0.7735
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1675637414
Coefficient of variation (CV)0.3496390829
Kurtosis0.353689011
Mean0.4792477432
Median Absolute Deviation (MAD)0.11
Skewness0.4520598313
Sum955.62
Variance0.02807760743
MonotonicityNot monotonic
2022-03-11T04:04:19.124563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4458
 
2.9%
0.455
 
2.8%
0.4253
 
2.7%
0.5152
 
2.6%
0.4551
 
2.6%
0.4751
 
2.6%
0.550
 
2.5%
0.6250
 
2.5%
0.5749
 
2.5%
0.3948
 
2.4%
Other values (83)1477
74.1%
ValueCountFrequency (%)
01
 
0.1%
0.071
 
0.1%
0.084
0.2%
0.093
0.2%
0.11
 
0.1%
ValueCountFrequency (%)
119
1.0%
0.981
 
0.1%
0.971
 
0.1%
0.961
 
0.1%
0.954
 
0.2%

medFamInc numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3756770311
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:19.234368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14
Q10.23
median0.33
Q30.48
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1982567479
Coefficient of variation (CV)0.5277318853
Kurtosis0.7816784163
Mean0.3756770311
Median Absolute Deviation (MAD)0.12
Skewness1.022616114
Sum749.1
Variance0.03930573809
MonotonicityNot monotonic
2022-03-11T04:04:19.342834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2566
 
3.3%
0.2159
 
3.0%
0.1958
 
2.9%
0.2655
 
2.8%
0.2254
 
2.7%
0.2753
 
2.7%
0.2453
 
2.7%
0.2851
 
2.6%
0.2350
 
2.5%
0.250
 
2.5%
Other values (88)1445
72.5%
ValueCountFrequency (%)
01
 
0.1%
0.012
0.1%
0.021
 
0.1%
0.042
0.1%
0.054
0.2%
ValueCountFrequency (%)
126
1.3%
0.986
 
0.3%
0.973
 
0.2%
0.964
 
0.2%
0.954
 
0.2%

perCapInc numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3502507523
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:19.442909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.13
Q10.22
median0.3
Q30.43
95-th percentile0.7535
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1911085188
Coefficient of variation (CV)0.5456334284
Kurtosis1.918520014
Mean0.3502507523
Median Absolute Deviation (MAD)0.1
Skewness1.356079251
Sum698.4
Variance0.03652246594
MonotonicityNot monotonic
2022-03-11T04:04:19.545040image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2374
 
3.7%
0.2273
 
3.7%
0.2468
 
3.4%
0.2166
 
3.3%
0.2563
 
3.2%
0.2759
 
3.0%
0.3157
 
2.9%
0.2656
 
2.8%
0.1856
 
2.8%
0.255
 
2.8%
Other values (88)1367
68.6%
ValueCountFrequency (%)
01
 
0.1%
0.012
0.1%
0.024
0.2%
0.032
0.1%
0.042
0.1%
ValueCountFrequency (%)
136
1.8%
0.984
 
0.2%
0.961
 
0.1%
0.951
 
0.1%
0.942
 
0.1%

whitePerCap numeric
Real number (ℝ≥0)

Distinct101
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3680491474
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:19.645494image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.16
Q10.24
median0.32
Q30.44
95-th percentile0.77
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1868041511
Coefficient of variation (CV)0.5075521907
Kurtosis2.067695145
Mean0.3680491474
Median Absolute Deviation (MAD)0.09
Skewness1.386045409
Sum733.89
Variance0.03489579086
MonotonicityNot monotonic
2022-03-11T04:04:19.740000image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.369
 
3.5%
0.266
 
3.3%
0.2866
 
3.3%
0.3263
 
3.2%
0.2562
 
3.1%
0.2962
 
3.1%
0.2662
 
3.1%
0.2361
 
3.1%
0.2260
 
3.0%
0.2457
 
2.9%
Other values (91)1366
68.5%
ValueCountFrequency (%)
01
 
0.1%
0.011
 
0.1%
0.022
0.1%
0.032
0.1%
0.043
0.2%
ValueCountFrequency (%)
138
1.9%
0.991
 
0.1%
0.984
 
0.2%
0.972
 
0.1%
0.961
 
0.1%

blackPerCap numeric
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2910982949
Minimum0
Maximum1
Zeros41
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:19.832704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.1725
median0.25
Q30.38
95-th percentile0.62
Maximum1
Range1
Interquartile range (IQR)0.2075

Descriptive statistics

Standard deviation0.1715934219
Coefficient of variation (CV)0.5894690037
Kurtosis2.692335724
Mean0.2910982949
Median Absolute Deviation (MAD)0.09
Skewness1.347973789
Sum580.45
Variance0.02944430243
MonotonicityNot monotonic
2022-03-11T04:04:19.924608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1888
 
4.4%
0.1787
 
4.4%
0.1678
 
3.9%
0.1974
 
3.7%
0.272
 
3.6%
0.1570
 
3.5%
0.2170
 
3.5%
0.2765
 
3.3%
0.2260
 
3.0%
0.2360
 
3.0%
Other values (81)1270
63.7%
ValueCountFrequency (%)
041
2.1%
0.017
 
0.4%
0.021
 
0.1%
0.036
 
0.3%
0.0410
 
0.5%
ValueCountFrequency (%)
118
0.9%
0.951
 
0.1%
0.944
 
0.2%
0.931
 
0.1%
0.921
 
0.1%

indianPerCap numeric
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2035055165
Minimum0
Maximum1
Zeros166
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:20.016210image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11
median0.17
Q30.25
95-th percentile0.507
Maximum1
Range1
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.1647753818
Coefficient of variation (CV)0.8096850869
Kurtosis6.340446756
Mean0.2035055165
Median Absolute Deviation (MAD)0.07
Skewness2.080292591
Sum405.79
Variance0.02715092646
MonotonicityNot monotonic
2022-03-11T04:04:20.099505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0166
 
8.3%
0.16101
 
5.1%
0.1588
 
4.4%
0.1185
 
4.3%
0.1382
 
4.1%
0.1477
 
3.9%
0.1872
 
3.6%
0.1770
 
3.5%
0.0969
 
3.5%
0.268
 
3.4%
Other values (76)1116
56.0%
ValueCountFrequency (%)
0166
8.3%
0.0111
 
0.6%
0.029
 
0.5%
0.0314
 
0.7%
0.0415
 
0.8%
ValueCountFrequency (%)
121
1.1%
0.881
 
0.1%
0.871
 
0.1%
0.862
 
0.1%
0.851
 
0.1%

AsianPerCap numeric
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3223570712
Minimum0
Maximum1
Zeros37
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:20.199913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07
Q10.19
median0.28
Q30.4
95-th percentile0.73
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1954108744
Coefficient of variation (CV)0.6061938509
Kurtosis2.076947325
Mean0.3223570712
Median Absolute Deviation (MAD)0.1
Skewness1.293263724
Sum642.78
Variance0.03818540982
MonotonicityNot monotonic
2022-03-11T04:04:20.299178image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1868
 
3.4%
0.2361
 
3.1%
0.2561
 
3.1%
0.2660
 
3.0%
0.2758
 
2.9%
0.2957
 
2.9%
0.2254
 
2.7%
0.2854
 
2.7%
0.3153
 
2.7%
0.2153
 
2.7%
Other values (88)1415
71.0%
ValueCountFrequency (%)
037
1.9%
0.014
 
0.2%
0.027
 
0.4%
0.034
 
0.2%
0.047
 
0.4%
ValueCountFrequency (%)
134
1.7%
0.991
 
0.1%
0.972
 
0.1%
0.954
 
0.2%
0.931
 
0.1%

OtherPerCap numeric
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)4.9%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.2847415956
Minimum0
Maximum1
Zeros129
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:20.390646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17
median0.25
Q30.36
95-th percentile0.66
Maximum1
Range1
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1910083315
Coefficient of variation (CV)0.6708128859
Kurtosis3.078217191
Mean0.2847415956
Median Absolute Deviation (MAD)0.09
Skewness1.406682353
Sum567.49
Variance0.03648418269
MonotonicityNot monotonic
2022-03-11T04:04:20.474591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0129
 
6.5%
0.2578
 
3.9%
0.271
 
3.6%
0.2270
 
3.5%
0.1666
 
3.3%
0.2664
 
3.2%
0.2461
 
3.1%
0.2160
 
3.0%
0.2755
 
2.8%
0.1754
 
2.7%
Other values (87)1285
64.4%
ValueCountFrequency (%)
0129
6.5%
0.019
 
0.5%
0.0217
 
0.9%
0.0311
 
0.6%
0.047
 
0.4%
ValueCountFrequency (%)
130
1.5%
0.994
 
0.2%
0.981
 
0.1%
0.952
 
0.1%
0.942
 
0.1%

HispPerCap numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3862788365
Minimum0
Maximum1
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:20.574231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.17
Q10.26
median0.345
Q30.48
95-th percentile0.7635
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1830806087
Coefficient of variation (CV)0.4739597186
Kurtosis1.610305682
Mean0.3862788365
Median Absolute Deviation (MAD)0.105
Skewness1.184070212
Sum770.24
Variance0.03351850927
MonotonicityNot monotonic
2022-03-11T04:04:20.668325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.367
 
3.4%
0.3365
 
3.3%
0.3265
 
3.3%
0.2665
 
3.3%
0.3160
 
3.0%
0.2356
 
2.8%
0.2856
 
2.8%
0.2253
 
2.7%
0.3450
 
2.5%
0.3950
 
2.5%
Other values (84)1407
70.6%
ValueCountFrequency (%)
06
0.3%
0.041
 
0.1%
0.062
 
0.1%
0.074
0.2%
0.081
 
0.1%
ValueCountFrequency (%)
135
1.8%
0.993
 
0.2%
0.981
 
0.1%
0.971
 
0.1%
0.963
 
0.2%

NumUnderPov numeric
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05550651956
Minimum0
Maximum1
Zeros314
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:20.765776image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.05
95-th percentile0.21
Maximum1
Range1
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.1279408466
Coefficient of variation (CV)2.304969715
Kurtosis30.24362816
Mean0.05550651956
Median Absolute Deviation (MAD)0.01
Skewness5.180855526
Sum110.68
Variance0.01636886022
MonotonicityNot monotonic
2022-03-11T04:04:20.849919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01527
26.4%
0314
15.7%
0.02313
15.7%
0.03198
 
9.9%
0.04133
 
6.7%
0.0595
 
4.8%
0.0655
 
2.8%
0.0747
 
2.4%
0.0842
 
2.1%
0.0936
 
1.8%
Other values (56)234
11.7%
ValueCountFrequency (%)
0314
15.7%
0.01527
26.4%
0.02313
15.7%
0.03198
 
9.9%
0.04133
 
6.7%
ValueCountFrequency (%)
114
0.7%
0.961
 
0.1%
0.932
 
0.1%
0.881
 
0.1%
0.831
 
0.1%

PctPopUnderPov numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3030240722
Minimum0
Maximum1
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:21.199653image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.11
median0.25
Q30.45
95-th percentile0.74
Maximum1
Range1
Interquartile range (IQR)0.34

Descriptive statistics

Standard deviation0.2284741428
Coefficient of variation (CV)0.7539801744
Kurtosis0.2883776082
Mean0.3030240722
Median Absolute Deviation (MAD)0.16
Skewness0.9237141525
Sum604.23
Variance0.05220043394
MonotonicityNot monotonic
2022-03-11T04:04:21.299542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0870
 
3.5%
0.0761
 
3.1%
0.0561
 
3.1%
0.157
 
2.9%
0.0956
 
2.8%
0.0656
 
2.8%
0.1250
 
2.5%
0.1147
 
2.4%
0.1346
 
2.3%
0.1944
 
2.2%
Other values (90)1446
72.5%
ValueCountFrequency (%)
03
 
0.2%
0.019
 
0.5%
0.0224
1.2%
0.0331
1.6%
0.0442
2.1%
ValueCountFrequency (%)
125
1.3%
0.993
 
0.2%
0.982
 
0.1%
0.971
 
0.1%
0.962
 
0.1%

PctLess9thGrade numeric
Real number (ℝ≥0)

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3158074223
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:21.399441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07
Q10.16
median0.27
Q30.42
95-th percentile0.7535
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.2133595629
Coefficient of variation (CV)0.6756002167
Kurtosis1.435376136
Mean0.3158074223
Median Absolute Deviation (MAD)0.12
Skewness1.234085074
Sum629.72
Variance0.04552230309
MonotonicityNot monotonic
2022-03-11T04:04:21.499542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1959
 
3.0%
0.1157
 
2.9%
0.1755
 
2.8%
0.352
 
2.6%
0.1851
 
2.6%
0.1649
 
2.5%
0.2148
 
2.4%
0.2747
 
2.4%
0.1347
 
2.4%
0.1445
 
2.3%
Other values (87)1484
74.4%
ValueCountFrequency (%)
01
 
0.1%
0.014
 
0.2%
0.0210
0.5%
0.0311
0.6%
0.0421
1.1%
ValueCountFrequency (%)
145
2.3%
0.991
 
0.1%
0.984
 
0.2%
0.962
 
0.1%
0.942
 
0.1%

PctNotHSGrad numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38332999
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:21.596321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09
Q10.23
median0.36
Q30.51
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.2025079692
Coefficient of variation (CV)0.5282862665
Kurtosis0.05199612239
Mean0.38332999
Median Absolute Deviation (MAD)0.14
Skewness0.5836393523
Sum764.36
Variance0.0410094776
MonotonicityNot monotonic
2022-03-11T04:04:21.716021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3950
 
2.5%
0.1949
 
2.5%
0.1545
 
2.3%
0.2942
 
2.1%
0.2242
 
2.1%
0.440
 
2.0%
0.3540
 
2.0%
0.3640
 
2.0%
0.2439
 
2.0%
0.1439
 
2.0%
Other values (89)1568
78.6%
ValueCountFrequency (%)
01
 
0.1%
0.013
 
0.2%
0.026
0.3%
0.036
0.3%
0.0412
0.6%
ValueCountFrequency (%)
118
0.9%
0.981
 
0.1%
0.961
 
0.1%
0.953
 
0.2%
0.943
 
0.2%

PctBSorMore numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3616750251
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:21.815919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.21
median0.31
Q30.46
95-th percentile0.8
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.2091931378
Coefficient of variation (CV)0.5784008386
Kurtosis0.8541301353
Mean0.3616750251
Median Absolute Deviation (MAD)0.12
Skewness1.140782094
Sum721.18
Variance0.0437617689
MonotonicityNot monotonic
2022-03-11T04:04:21.913265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1867
 
3.4%
0.2166
 
3.3%
0.2464
 
3.2%
0.2563
 
3.2%
0.2356
 
2.8%
0.2653
 
2.7%
0.3351
 
2.6%
0.3450
 
2.5%
0.2850
 
2.5%
0.2749
 
2.5%
Other values (86)1425
71.5%
ValueCountFrequency (%)
02
 
0.1%
0.021
 
0.1%
0.033
0.2%
0.045
0.3%
0.067
0.4%
ValueCountFrequency (%)
126
1.3%
0.985
 
0.3%
0.977
 
0.4%
0.964
 
0.2%
0.945
 
0.3%

PctUnemployed numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3635305918
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.005789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.22
median0.32
Q30.48
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.2021712853
Coefficient of variation (CV)0.5561327985
Kurtosis0.7364616712
Mean0.3635305918
Median Absolute Deviation (MAD)0.13
Skewness0.9343767521
Sum724.88
Variance0.04087322862
MonotonicityNot monotonic
2022-03-11T04:04:22.099355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2456
 
2.8%
0.2252
 
2.6%
0.3250
 
2.5%
0.2749
 
2.5%
0.2549
 
2.5%
0.246
 
2.3%
0.3546
 
2.3%
0.2646
 
2.3%
0.3846
 
2.3%
0.2845
 
2.3%
Other values (88)1509
75.7%
ValueCountFrequency (%)
01
 
0.1%
0.021
 
0.1%
0.032
 
0.1%
0.048
0.4%
0.057
0.4%
ValueCountFrequency (%)
130
1.5%
0.991
 
0.1%
0.983
 
0.2%
0.971
 
0.1%
0.961
 
0.1%

PctEmploy numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5010732197
Minimum0
Maximum1
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.202913image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.38
median0.51
Q30.6275
95-th percentile0.77
Maximum1
Range1
Interquartile range (IQR)0.2475

Descriptive statistics

Standard deviation0.1740363812
Coefficient of variation (CV)0.3473272455
Kurtosis-0.1302850014
Mean0.5010732197
Median Absolute Deviation (MAD)0.12
Skewness-0.2547281293
Sum999.14
Variance0.03028866197
MonotonicityNot monotonic
2022-03-11T04:04:22.290119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5656
 
2.8%
0.5852
 
2.6%
0.5151
 
2.6%
0.549
 
2.5%
0.5249
 
2.5%
0.647
 
2.4%
0.4746
 
2.3%
0.4644
 
2.2%
0.5744
 
2.2%
0.4242
 
2.1%
Other values (86)1514
75.9%
ValueCountFrequency (%)
010
0.5%
0.011
 
0.1%
0.034
 
0.2%
0.045
0.3%
0.051
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.982
0.1%
0.961
 
0.1%
0.953
0.2%
0.931
 
0.1%

PctEmplManu numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3963841525
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.390551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11
Q10.25
median0.37
Q30.52
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.2023859559
Coefficient of variation (CV)0.5105803414
Kurtosis0.07922740973
Mean0.3963841525
Median Absolute Deviation (MAD)0.13
Skewness0.6522335096
Sum790.39
Variance0.04096007513
MonotonicityNot monotonic
2022-03-11T04:04:22.483957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2652
 
2.6%
0.348
 
2.4%
0.3647
 
2.4%
0.3947
 
2.4%
0.2745
 
2.3%
0.2544
 
2.2%
0.3543
 
2.2%
0.2842
 
2.1%
0.4142
 
2.1%
0.2441
 
2.1%
Other values (90)1543
77.4%
ValueCountFrequency (%)
01
 
0.1%
0.011
 
0.1%
0.021
 
0.1%
0.036
0.3%
0.049
0.5%
ValueCountFrequency (%)
115
0.8%
0.991
 
0.1%
0.984
 
0.2%
0.971
 
0.1%
0.963
 
0.2%

PctEmplProfServ numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4405967904
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.573639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.32
median0.41
Q30.53
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1754569546
Coefficient of variation (CV)0.3982256757
Kurtosis1.134262507
Mean0.4405967904
Median Absolute Deviation (MAD)0.1
Skewness0.9232749463
Sum878.55
Variance0.03078514291
MonotonicityNot monotonic
2022-03-11T04:04:22.669239image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3669
 
3.5%
0.3964
 
3.2%
0.3860
 
3.0%
0.360
 
3.0%
0.4357
 
2.9%
0.455
 
2.8%
0.4453
 
2.7%
0.3253
 
2.7%
0.3753
 
2.7%
0.3552
 
2.6%
Other values (86)1418
71.1%
ValueCountFrequency (%)
01
0.1%
0.011
0.1%
0.042
0.1%
0.062
0.1%
0.071
0.1%
ValueCountFrequency (%)
135
1.8%
0.991
 
0.1%
0.981
 
0.1%
0.973
 
0.2%
0.962
 
0.1%

PctOccupManu numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.391223671
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.765574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.24
median0.37
Q30.51
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.1989221007
Coefficient of variation (CV)0.508461311
Kurtosis0.2226357992
Mean0.391223671
Median Absolute Deviation (MAD)0.13
Skewness0.604163781
Sum780.1
Variance0.03957000213
MonotonicityNot monotonic
2022-03-11T04:04:22.857713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3251
 
2.6%
0.3445
 
2.3%
0.4545
 
2.3%
0.3945
 
2.3%
0.4244
 
2.2%
0.3743
 
2.2%
0.441
 
2.1%
0.3541
 
2.1%
0.341
 
2.1%
0.3340
 
2.0%
Other values (88)1558
78.1%
ValueCountFrequency (%)
02
 
0.1%
0.016
0.3%
0.024
 
0.2%
0.037
0.4%
0.0410
0.5%
ValueCountFrequency (%)
120
1.0%
0.993
 
0.2%
0.971
 
0.1%
0.961
 
0.1%
0.931
 
0.1%

PctOccupMgmtProf numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4413390171
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:22.949355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.31
median0.4
Q30.54
95-th percentile0.82
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1862917835
Coefficient of variation (CV)0.4221058559
Kurtosis0.5942703707
Mean0.4413390171
Median Absolute Deviation (MAD)0.1
Skewness0.8936309877
Sum880.03
Variance0.03470462861
MonotonicityNot monotonic
2022-03-11T04:04:23.032786image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3666
 
3.3%
0.3464
 
3.2%
0.3957
 
2.9%
0.3157
 
2.9%
0.3756
 
2.8%
0.3356
 
2.8%
0.3556
 
2.8%
0.3252
 
2.6%
0.451
 
2.6%
0.4251
 
2.6%
Other values (89)1428
71.6%
ValueCountFrequency (%)
01
 
0.1%
0.012
0.1%
0.031
 
0.1%
0.052
0.1%
0.063
0.2%
ValueCountFrequency (%)
124
1.2%
0.993
 
0.2%
0.984
 
0.2%
0.971
 
0.1%
0.965
 
0.3%

MalePctDivorce numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4612437312
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:23.124138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.16
Q10.33
median0.47
Q30.59
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.1824603491
Coefficient of variation (CV)0.395583369
Kurtosis-0.3684263684
Mean0.4612437312
Median Absolute Deviation (MAD)0.13
Skewness0.06000775729
Sum919.72
Variance0.033291779
MonotonicityNot monotonic
2022-03-11T04:04:23.215680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5652
 
2.6%
0.4850
 
2.5%
0.4548
 
2.4%
0.5548
 
2.4%
0.4345
 
2.3%
0.5944
 
2.2%
0.4242
 
2.1%
0.6340
 
2.0%
0.4940
 
2.0%
0.3840
 
2.0%
Other values (88)1545
77.5%
ValueCountFrequency (%)
01
 
0.1%
0.012
 
0.1%
0.043
0.2%
0.056
0.3%
0.062
 
0.1%
ValueCountFrequency (%)
14
0.2%
0.981
 
0.1%
0.971
 
0.1%
0.962
0.1%
0.951
 
0.1%

MalePctNevMarr numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4344533601
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:23.308133image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.31
median0.4
Q30.5
95-th percentile0.7935
Maximum1
Range1
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1754373135
Coefficient of variation (CV)0.4038116161
Kurtosis1.735198531
Mean0.4344533601
Median Absolute Deviation (MAD)0.09
Skewness1.22982587
Sum866.3
Variance0.03077825096
MonotonicityNot monotonic
2022-03-11T04:04:23.411474image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3865
 
3.3%
0.364
 
3.2%
0.3564
 
3.2%
0.4263
 
3.2%
0.3662
 
3.1%
0.461
 
3.1%
0.3259
 
3.0%
0.3959
 
3.0%
0.2858
 
2.9%
0.3456
 
2.8%
Other values (86)1383
69.4%
ValueCountFrequency (%)
01
0.1%
0.021
0.1%
0.031
0.1%
0.051
0.1%
0.081
0.1%
ValueCountFrequency (%)
147
2.4%
0.991
 
0.1%
0.981
 
0.1%
0.973
 
0.2%
0.964
 
0.2%

FemalePctDiv numeric
Real number (ℝ≥0)

Distinct91
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4875677031
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:23.511408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.36
median0.5
Q30.62
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.1751697669
Coefficient of variation (CV)0.3592727037
Kurtosis-0.5649239391
Mean0.4875677031
Median Absolute Deviation (MAD)0.13
Skewness-0.1196762025
Sum972.21
Variance0.03068444725
MonotonicityNot monotonic
2022-03-11T04:04:23.604873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5455
 
2.8%
0.553
 
2.7%
0.5651
 
2.6%
0.6351
 
2.6%
0.6149
 
2.5%
0.6448
 
2.4%
0.4946
 
2.3%
0.5944
 
2.2%
0.5842
 
2.1%
0.4240
 
2.0%
Other values (81)1515
76.0%
ValueCountFrequency (%)
02
0.1%
0.051
 
0.1%
0.061
 
0.1%
0.071
 
0.1%
0.084
0.2%
ValueCountFrequency (%)
12
0.1%
0.971
 
0.1%
0.931
 
0.1%
0.913
0.2%
0.91
 
0.1%

TotalPctDiv numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4942728185
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:23.690288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19
Q10.36
median0.5
Q30.63
95-th percentile0.79
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.1836066111
Coefficient of variation (CV)0.3714681534
Kurtosis-0.5332619623
Mean0.4942728185
Median Absolute Deviation (MAD)0.13
Skewness-0.06509547954
Sum985.58
Variance0.03371138765
MonotonicityNot monotonic
2022-03-11T04:04:23.790081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5752
 
2.6%
0.5449
 
2.5%
0.6148
 
2.4%
0.4846
 
2.3%
0.6445
 
2.3%
0.6643
 
2.2%
0.6241
 
2.1%
0.4241
 
2.1%
0.5640
 
2.0%
0.5240
 
2.0%
Other values (84)1549
77.7%
ValueCountFrequency (%)
02
 
0.1%
0.051
 
0.1%
0.063
0.2%
0.073
0.2%
0.086
0.3%
ValueCountFrequency (%)
12
0.1%
0.981
0.1%
0.972
0.1%
0.962
0.1%
0.951
0.1%

PersPerFam numeric
Real number (ℝ≥0)

Distinct92
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4877482447
Minimum0
Maximum1
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:23.898308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.28
Q10.4
median0.47
Q30.56
95-th percentile0.8035
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.1545941218
Coefficient of variation (CV)0.3169547477
Kurtosis2.150609455
Mean0.4877482447
Median Absolute Deviation (MAD)0.08
Skewness0.9632230445
Sum972.57
Variance0.02389934251
MonotonicityNot monotonic
2022-03-11T04:04:23.988100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44101
 
5.1%
0.4100
 
5.0%
0.4998
 
4.9%
0.4787
 
4.4%
0.5186
 
4.3%
0.4284
 
4.2%
0.3565
 
3.3%
0.3765
 
3.3%
0.5865
 
3.3%
0.5661
 
3.1%
Other values (82)1182
59.3%
ValueCountFrequency (%)
04
0.2%
0.011
 
0.1%
0.063
0.2%
0.081
 
0.1%
0.091
 
0.1%
ValueCountFrequency (%)
142
2.1%
0.981
 
0.1%
0.973
 
0.2%
0.963
 
0.2%
0.952
 
0.1%

PctFam2Par numeric
Real number (ℝ≥0)

Distinct101
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6109177533
Minimum0
Maximum1
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:24.083003image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.23
Q10.49
median0.63
Q30.76
95-th percentile0.91
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.201976213
Coefficient of variation (CV)0.330611137
Kurtosis0.06769532943
Mean0.6109177533
Median Absolute Deviation (MAD)0.14
Skewness-0.5491611142
Sum1218.17
Variance0.04079439062
MonotonicityNot monotonic
2022-03-11T04:04:24.174438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.751
 
2.6%
0.6451
 
2.6%
0.6145
 
2.3%
0.6243
 
2.2%
0.5443
 
2.2%
0.6643
 
2.2%
0.640
 
2.0%
0.839
 
2.0%
0.6338
 
1.9%
0.7138
 
1.9%
Other values (91)1563
78.4%
ValueCountFrequency (%)
014
0.7%
0.012
 
0.1%
0.021
 
0.1%
0.031
 
0.1%
0.041
 
0.1%
ValueCountFrequency (%)
12
 
0.1%
0.994
 
0.2%
0.982
 
0.1%
0.9710
0.5%
0.969
0.5%

PctKids2Par numeric
Real number (ℝ≥0)

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6206569709
Minimum0
Maximum1
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:24.261686image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.49
median0.64
Q30.78
95-th percentile0.92
Maximum1
Range1
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.206353473
Coefficient of variation (CV)0.3324758807
Kurtosis0.05994173856
Mean0.6206569709
Median Absolute Deviation (MAD)0.14
Skewness-0.5983170935
Sum1237.59
Variance0.04258175583
MonotonicityNot monotonic
2022-03-11T04:04:24.356732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7247
 
2.4%
0.5946
 
2.3%
0.7646
 
2.3%
0.6844
 
2.2%
0.6743
 
2.2%
0.4942
 
2.1%
0.6242
 
2.1%
0.8141
 
2.1%
0.5838
 
1.9%
0.8238
 
1.9%
Other values (87)1567
78.6%
ValueCountFrequency (%)
016
0.8%
0.021
 
0.1%
0.033
 
0.2%
0.054
 
0.2%
0.075
 
0.3%
ValueCountFrequency (%)
12
 
0.1%
0.991
 
0.1%
0.986
 
0.3%
0.9710
0.5%
0.9615
0.8%

PctYoungKids2Par numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6640320963
Minimum0
Maximum1
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:24.468059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2465
Q10.53
median0.7
Q30.84
95-th percentile0.94
Maximum1
Range1
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.2187493324
Coefficient of variation (CV)0.3294258419
Kurtosis0.1312111148
Mean0.6640320963
Median Absolute Deviation (MAD)0.15
Skewness-0.7732373352
Sum1324.08
Variance0.04785127042
MonotonicityNot monotonic
2022-03-11T04:04:24.548825image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9149
 
2.5%
0.8847
 
2.4%
0.8644
 
2.2%
0.7144
 
2.2%
0.8742
 
2.1%
0.8442
 
2.1%
0.8341
 
2.1%
0.8940
 
2.0%
0.740
 
2.0%
0.7540
 
2.0%
Other values (89)1565
78.5%
ValueCountFrequency (%)
018
0.9%
0.023
 
0.2%
0.031
 
0.1%
0.052
 
0.1%
0.063
 
0.2%
ValueCountFrequency (%)
18
 
0.4%
0.996
 
0.3%
0.9821
1.1%
0.9715
0.8%
0.9618
0.9%

PctTeen2Par numeric
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.582883651
Minimum0
Maximum1
Zeros21
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:24.890085image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.48
median0.61
Q30.72
95-th percentile0.85
Maximum1
Range1
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.1915069757
Coefficient of variation (CV)0.3285509473
Kurtosis0.4157019231
Mean0.582883651
Median Absolute Deviation (MAD)0.12
Skewness-0.7212603408
Sum1162.27
Variance0.03667492173
MonotonicityNot monotonic
2022-03-11T04:04:24.976121image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.657
 
2.9%
0.6154
 
2.7%
0.6352
 
2.6%
0.6251
 
2.6%
0.6946
 
2.3%
0.6446
 
2.3%
0.6646
 
2.3%
0.5946
 
2.3%
0.7144
 
2.2%
0.6844
 
2.2%
Other values (86)1508
75.6%
ValueCountFrequency (%)
021
1.1%
0.023
 
0.2%
0.033
 
0.2%
0.042
 
0.1%
0.056
 
0.3%
ValueCountFrequency (%)
12
0.1%
0.982
0.1%
0.971
 
0.1%
0.944
0.2%
0.934
0.2%

PctWorkMomYoungKids numeric
Real number (ℝ≥0)

Distinct95
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.501449348
Minimum0
Maximum1
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.072944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.39
median0.51
Q30.62
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.168611566
Coefficient of variation (CV)0.33624845
Kurtosis0.002110106594
Mean0.501449348
Median Absolute Deviation (MAD)0.11
Skewness-0.1304175777
Sum999.89
Variance0.0284298602
MonotonicityNot monotonic
2022-03-11T04:04:25.156679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5163
 
3.2%
0.5261
 
3.1%
0.4855
 
2.8%
0.5552
 
2.6%
0.4951
 
2.6%
0.4348
 
2.4%
0.548
 
2.4%
0.5748
 
2.4%
0.4446
 
2.3%
0.445
 
2.3%
Other values (85)1477
74.1%
ValueCountFrequency (%)
05
0.3%
0.011
 
0.1%
0.022
 
0.1%
0.032
 
0.1%
0.051
 
0.1%
ValueCountFrequency (%)
12
0.1%
0.981
 
0.1%
0.971
 
0.1%
0.944
0.2%
0.922
0.1%

PctWorkMom numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5266900702
Minimum0
Maximum1
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.249135image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.42
median0.54
Q30.65
95-th percentile0.79
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1752414354
Coefficient of variation (CV)0.3327221175
Kurtosis0.2855552534
Mean0.5266900702
Median Absolute Deviation (MAD)0.11
Skewness-0.4118355477
Sum1050.22
Variance0.03070956069
MonotonicityNot monotonic
2022-03-11T04:04:25.348492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5764
 
3.2%
0.5459
 
3.0%
0.4956
 
2.8%
0.5254
 
2.7%
0.652
 
2.6%
0.5149
 
2.5%
0.6747
 
2.4%
0.5846
 
2.3%
0.5946
 
2.3%
0.545
 
2.3%
Other values (88)1476
74.0%
ValueCountFrequency (%)
014
0.7%
0.011
 
0.1%
0.021
 
0.1%
0.033
 
0.2%
0.053
 
0.2%
ValueCountFrequency (%)
13
0.2%
0.972
0.1%
0.963
0.2%
0.951
 
0.1%
0.942
0.1%

NumIlleg numeric
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03629388164
Minimum0
Maximum1
Zeros750
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.440799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.13
Maximum1
Range1
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.1086710116
Coefficient of variation (CV)2.994196449
Kurtosis45.49384079
Mean0.03629388164
Median Absolute Deviation (MAD)0.01
Skewness6.272998972
Sum72.37
Variance0.01180938875
MonotonicityNot monotonic
2022-03-11T04:04:25.544734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0750
37.6%
0.01543
27.2%
0.02206
 
10.3%
0.03134
 
6.7%
0.0465
 
3.3%
0.0549
 
2.5%
0.0641
 
2.1%
0.0724
 
1.2%
0.0921
 
1.1%
0.0817
 
0.9%
Other values (45)144
 
7.2%
ValueCountFrequency (%)
0750
37.6%
0.01543
27.2%
0.02206
 
10.3%
0.03134
 
6.7%
0.0465
 
3.3%
ValueCountFrequency (%)
111
0.6%
0.971
 
0.1%
0.931
 
0.1%
0.781
 
0.1%
0.771
 
0.1%

PctIlleg numeric
Real number (ℝ≥0)

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.249994985
Minimum0
Maximum1
Zeros7
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.631940image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03
Q10.09
median0.17
Q30.32
95-th percentile0.7735
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.2299461094
Coefficient of variation (CV)0.919802889
Kurtosis1.946464261
Mean0.249994985
Median Absolute Deviation (MAD)0.1
Skewness1.561382524
Sum498.49
Variance0.05287521322
MonotonicityNot monotonic
2022-03-11T04:04:25.724868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0986
 
4.3%
0.0679
 
4.0%
0.0878
 
3.9%
0.0473
 
3.7%
0.0568
 
3.4%
0.167
 
3.4%
0.1366
 
3.3%
0.0765
 
3.3%
0.1564
 
3.2%
0.0364
 
3.2%
Other values (87)1284
64.4%
ValueCountFrequency (%)
07
 
0.4%
0.0115
 
0.8%
0.0228
 
1.4%
0.0364
3.2%
0.0473
3.7%
ValueCountFrequency (%)
142
2.1%
0.992
 
0.1%
0.981
 
0.1%
0.974
 
0.2%
0.962
 
0.1%

NumImmig numeric
Real number (ℝ≥0)

ZEROS

Distinct47
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03006018054
Minimum0
Maximum1
Zeros826
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.815864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.13
Maximum1
Range1
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.08718946841
Coefficient of variation (CV)2.900497164
Kurtosis69.17506936
Mean0.03006018054
Median Absolute Deviation (MAD)0.01
Skewness7.472030865
Sum59.94
Variance0.007602003401
MonotonicityNot monotonic
2022-03-11T04:04:25.906945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0826
41.4%
0.01496
24.9%
0.02216
 
10.8%
0.03100
 
5.0%
0.0468
 
3.4%
0.0543
 
2.2%
0.0634
 
1.7%
0.0731
 
1.6%
0.0821
 
1.1%
0.0920
 
1.0%
Other values (37)139
 
7.0%
ValueCountFrequency (%)
0826
41.4%
0.01496
24.9%
0.02216
 
10.8%
0.03100
 
5.0%
0.0468
 
3.4%
ValueCountFrequency (%)
17
0.4%
0.841
 
0.1%
0.811
 
0.1%
0.771
 
0.1%
0.72
 
0.1%

PctImmigRecent numeric
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3202106319
Minimum0
Maximum1
Zeros114
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:25.990141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.16
median0.29
Q30.43
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.2190884637
Coefficient of variation (CV)0.6842010909
Kurtosis1.064335656
Mean0.3202106319
Median Absolute Deviation (MAD)0.13
Skewness0.9759461588
Sum638.5
Variance0.04799975491
MonotonicityNot monotonic
2022-03-11T04:04:26.082333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0114
 
5.7%
0.2750
 
2.5%
0.3349
 
2.5%
0.2945
 
2.3%
0.2545
 
2.3%
0.244
 
2.2%
0.3141
 
2.1%
0.341
 
2.1%
0.3741
 
2.1%
0.1841
 
2.1%
Other values (89)1483
74.4%
ValueCountFrequency (%)
0114
5.7%
0.015
 
0.3%
0.026
 
0.3%
0.0315
 
0.8%
0.0420
 
1.0%
ValueCountFrequency (%)
139
2.0%
0.991
 
0.1%
0.982
 
0.1%
0.964
 
0.2%
0.953
 
0.2%

PctImmigRec5 numeric
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3606218656
Minimum0
Maximum1
Zeros51
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:26.194525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.2
median0.34
Q30.48
95-th percentile0.7435
Maximum1
Range1
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.2109242187
Coefficient of variation (CV)0.5848902655
Kurtosis0.3990796266
Mean0.3606218656
Median Absolute Deviation (MAD)0.14
Skewness0.6700140197
Sum719.08
Variance0.04448902603
MonotonicityNot monotonic
2022-03-11T04:04:26.274241image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
051
 
2.6%
0.4250
 
2.5%
0.3344
 
2.2%
0.4844
 
2.2%
0.3242
 
2.1%
0.342
 
2.1%
0.2740
 
2.0%
0.1740
 
2.0%
0.3540
 
2.0%
0.1839
 
2.0%
Other values (90)1562
78.3%
ValueCountFrequency (%)
051
2.6%
0.012
 
0.1%
0.023
 
0.2%
0.038
 
0.4%
0.0410
 
0.5%
ValueCountFrequency (%)
124
1.2%
0.991
 
0.1%
0.982
 
0.1%
0.973
 
0.2%
0.961
 
0.1%

PctImmigRec8 numeric
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3990772317
Minimum0
Maximum1
Zeros29
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:26.373426image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0965
Q10.25
median0.39
Q30.53
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.2014980301
Coefficient of variation (CV)0.5049098624
Kurtosis0.04390077767
Mean0.3990772317
Median Absolute Deviation (MAD)0.14
Skewness0.4058956053
Sum795.76
Variance0.04060145615
MonotonicityNot monotonic
2022-03-11T04:04:26.464687image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2646
 
2.3%
0.3644
 
2.2%
0.3943
 
2.2%
0.4543
 
2.2%
0.541
 
2.1%
0.4641
 
2.1%
0.3840
 
2.0%
0.3540
 
2.0%
0.338
 
1.9%
0.4338
 
1.9%
Other values (87)1580
79.2%
ValueCountFrequency (%)
029
1.5%
0.011
 
0.1%
0.023
 
0.2%
0.033
 
0.2%
0.047
 
0.4%
ValueCountFrequency (%)
115
0.8%
0.993
 
0.2%
0.971
 
0.1%
0.964
 
0.2%
0.956
 
0.3%

PctImmigRec10 numeric
Real number (ℝ≥0)

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4278786359
Minimum0
Maximum1
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:26.556889image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.28
median0.43
Q30.56
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.1949697657
Coefficient of variation (CV)0.4556660449
Kurtosis-0.3809574828
Mean0.4278786359
Median Absolute Deviation (MAD)0.14
Skewness0.1723254654
Sum853.19
Variance0.03801320955
MonotonicityNot monotonic
2022-03-11T04:04:26.641113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4349
 
2.5%
0.4545
 
2.3%
0.4445
 
2.3%
0.4744
 
2.2%
0.2843
 
2.2%
0.5243
 
2.2%
0.4143
 
2.2%
0.4640
 
2.0%
0.4839
 
2.0%
0.5138
 
1.9%
Other values (87)1565
78.5%
ValueCountFrequency (%)
014
0.7%
0.021
 
0.1%
0.034
 
0.2%
0.044
 
0.2%
0.057
0.4%
ValueCountFrequency (%)
14
0.2%
0.992
0.1%
0.981
 
0.1%
0.962
0.1%
0.954
0.2%

PctRecentImmig numeric
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1813640923
Minimum0
Maximum1
Zeros140
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:26.732761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.09
Q30.23
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2357915108
Coefficient of variation (CV)1.3001003
Kurtosis3.352620436
Mean0.1813640923
Median Absolute Deviation (MAD)0.07
Skewness1.972029681
Sum361.64
Variance0.05559763656
MonotonicityNot monotonic
2022-03-11T04:04:26.831458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01155
 
7.8%
0.03147
 
7.4%
0140
 
7.0%
0.02138
 
6.9%
0.0595
 
4.8%
0.0490
 
4.5%
0.0777
 
3.9%
0.0675
 
3.8%
0.0871
 
3.6%
0.1165
 
3.3%
Other values (85)941
47.2%
ValueCountFrequency (%)
0140
7.0%
0.01155
7.8%
0.02138
6.9%
0.03147
7.4%
0.0490
4.5%
ValueCountFrequency (%)
152
2.6%
0.971
 
0.1%
0.963
 
0.2%
0.951
 
0.1%
0.941
 
0.1%

PctRecImmig5 numeric
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1821263791
Minimum0
Maximum1
Zeros79
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:26.915920image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.08
Q30.23
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2363329824
Coefficient of variation (CV)1.297631806
Kurtosis3.296128449
Mean0.1821263791
Median Absolute Deviation (MAD)0.06
Skewness1.973189341
Sum363.16
Variance0.05585327855
MonotonicityNot monotonic
2022-03-11T04:04:27.023408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02176
 
8.8%
0.01161
 
8.1%
0.03144
 
7.2%
0.04118
 
5.9%
0.0692
 
4.6%
0.0887
 
4.4%
0.0780
 
4.0%
079
 
4.0%
0.0572
 
3.6%
0.1157
 
2.9%
Other values (87)928
46.5%
ValueCountFrequency (%)
079
4.0%
0.01161
8.1%
0.02176
8.8%
0.03144
7.2%
0.04118
5.9%
ValueCountFrequency (%)
147
2.4%
0.991
 
0.1%
0.981
 
0.1%
0.972
 
0.1%
0.942
 
0.1%

PctRecImmig8 numeric
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.184774323
Minimum0
Maximum1
Zeros56
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:27.111279image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.09
Q30.23
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2367389552
Coefficient of variation (CV)1.281232973
Kurtosis3.214534107
Mean0.184774323
Median Absolute Deviation (MAD)0.07
Skewness1.957285039
Sum368.44
Variance0.05604533289
MonotonicityNot monotonic
2022-03-11T04:04:27.199554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02170
 
8.5%
0.03160
 
8.0%
0.01145
 
7.3%
0.04108
 
5.4%
0.05106
 
5.3%
0.0884
 
4.2%
0.0781
 
4.1%
0.0680
 
4.0%
0.0972
 
3.6%
056
 
2.8%
Other values (88)932
46.7%
ValueCountFrequency (%)
056
 
2.8%
0.01145
7.3%
0.02170
8.5%
0.03160
8.0%
0.04108
5.4%
ValueCountFrequency (%)
150
2.5%
0.982
 
0.1%
0.961
 
0.1%
0.951
 
0.1%
0.942
 
0.1%

PctRecImmig10 numeric
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1828786359
Minimum0
Maximum1
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:27.290035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.09
Q30.23
95-th percentile0.7435
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2348223449
Coefficient of variation (CV)1.284033773
Kurtosis3.383180458
Mean0.1828786359
Median Absolute Deviation (MAD)0.07
Skewness1.990869222
Sum364.66
Variance0.05514153368
MonotonicityNot monotonic
2022-03-11T04:04:27.382107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02171
 
8.6%
0.01148
 
7.4%
0.03145
 
7.3%
0.04120
 
6.0%
0.06102
 
5.1%
0.0599
 
5.0%
0.0780
 
4.0%
0.0879
 
4.0%
0.0974
 
3.7%
0.156
 
2.8%
Other values (90)920
46.1%
ValueCountFrequency (%)
049
 
2.5%
0.01148
7.4%
0.02171
8.6%
0.03145
7.3%
0.04120
6.0%
ValueCountFrequency (%)
147
2.4%
0.992
 
0.1%
0.981
 
0.1%
0.972
 
0.1%
0.961
 
0.1%

PctSpeakEnglOnly numeric
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7859027081
Minimum0
Maximum1
Zeros57
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:27.490821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q10.73
median0.87
Q30.94
95-th percentile0.97
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.2268690283
Coefficient of variation (CV)0.2886731729
Kurtosis3.463173036
Mean0.7859027081
Median Absolute Deviation (MAD)0.08
Skewness-1.943378002
Sum1567.09
Variance0.05146955601
MonotonicityNot monotonic
2022-03-11T04:04:27.573601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.96117
 
5.9%
0.95115
 
5.8%
0.9796
 
4.8%
0.9495
 
4.8%
0.9291
 
4.6%
0.9382
 
4.1%
0.982
 
4.1%
0.8974
 
3.7%
0.8871
 
3.6%
0.9171
 
3.6%
Other values (88)1100
55.2%
ValueCountFrequency (%)
057
2.9%
0.014
 
0.2%
0.021
 
0.1%
0.051
 
0.1%
0.072
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.9916
 
0.8%
0.9869
3.5%
0.9796
4.8%
0.96117
5.9%

PctNotSpeakEnglWell numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1505867603
Minimum0
Maximum1
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:27.669171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.06
Q30.16
95-th percentile0.6735
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.2197161119
Coefficient of variation (CV)1.459066597
Kurtosis6.477332997
Mean0.1505867603
Median Absolute Deviation (MAD)0.04
Skewness2.603708662
Sum300.27
Variance0.04827516984
MonotonicityNot monotonic
2022-03-11T04:04:27.765346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03244
 
12.2%
0.04228
 
11.4%
0.02180
 
9.0%
0.05135
 
6.8%
0.06123
 
6.2%
0.01105
 
5.3%
0.0891
 
4.6%
0.0788
 
4.4%
0.0965
 
3.3%
156
 
2.8%
Other values (84)679
34.1%
ValueCountFrequency (%)
014
 
0.7%
0.01105
5.3%
0.02180
9.0%
0.03244
12.2%
0.04228
11.4%
ValueCountFrequency (%)
156
2.8%
0.992
 
0.1%
0.981
 
0.1%
0.973
 
0.2%
0.961
 
0.1%

PctLargHouseFam numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2676078235
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:27.864853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09
Q10.15
median0.2
Q30.31
95-th percentile0.73
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.1965672405
Coefficient of variation (CV)0.7345347305
Kurtosis4.514192702
Mean0.2676078235
Median Absolute Deviation (MAD)0.07
Skewness2.09668766
Sum533.61
Variance0.03863868004
MonotonicityNot monotonic
2022-03-11T04:04:27.956901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1795
 
4.8%
0.293
 
4.7%
0.1993
 
4.7%
0.1491
 
4.6%
0.1889
 
4.5%
0.1688
 
4.4%
0.1582
 
4.1%
0.1276
 
3.8%
0.1375
 
3.8%
0.2373
 
3.7%
Other values (89)1139
57.1%
ValueCountFrequency (%)
02
 
0.1%
0.012
 
0.1%
0.021
 
0.1%
0.036
0.3%
0.044
0.2%
ValueCountFrequency (%)
149
2.5%
0.991
 
0.1%
0.963
 
0.2%
0.954
 
0.2%
0.942
 
0.1%

PctLargHouseOccup numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.251890672
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:28.057247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.14
median0.19
Q30.29
95-th percentile0.7035
Maximum1
Range1
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.1907086267
Coefficient of variation (CV)0.7571087298
Kurtosis5.789747991
Mean0.251890672
Median Absolute Deviation (MAD)0.06
Skewness2.335220131
Sum502.27
Variance0.03636978031
MonotonicityNot monotonic
2022-03-11T04:04:28.156628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19111
 
5.6%
0.17102
 
5.1%
0.15102
 
5.1%
0.2190
 
4.5%
0.1888
 
4.4%
0.1482
 
4.1%
0.1679
 
4.0%
0.1179
 
4.0%
0.1377
 
3.9%
0.1277
 
3.9%
Other values (86)1107
55.5%
ValueCountFrequency (%)
02
 
0.1%
0.013
0.2%
0.023
0.2%
0.035
0.3%
0.047
0.4%
ValueCountFrequency (%)
151
2.6%
0.991
 
0.1%
0.971
 
0.1%
0.962
 
0.1%
0.952
 
0.1%

PersPerOccupHous numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4621013039
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:28.518782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.34
median0.44
Q30.55
95-th percentile0.79
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1695513627
Coefficient of variation (CV)0.3669138374
Kurtosis1.124192591
Mean0.4621013039
Median Absolute Deviation (MAD)0.1
Skewness0.8795337178
Sum921.43
Variance0.02874766459
MonotonicityNot monotonic
2022-03-11T04:04:28.606110image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3773
 
3.7%
0.3672
 
3.6%
0.3866
 
3.3%
0.461
 
3.1%
0.3461
 
3.1%
0.3259
 
3.0%
0.4556
 
2.8%
0.2956
 
2.8%
0.4155
 
2.8%
0.3355
 
2.8%
Other values (86)1380
69.2%
ValueCountFrequency (%)
02
0.1%
0.011
0.1%
0.031
0.1%
0.041
0.1%
0.051
0.1%
ValueCountFrequency (%)
137
1.9%
0.991
 
0.1%
0.982
 
0.1%
0.972
 
0.1%
0.952
 
0.1%

PersPerOwnOccHous numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4944282849
Minimum0
Maximum1
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:28.699588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.27
Q10.39
median0.48
Q30.58
95-th percentile0.77
Maximum1
Range1
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1579239978
Coefficient of variation (CV)0.3194072885
Kurtosis1.101156935
Mean0.4944282849
Median Absolute Deviation (MAD)0.1
Skewness0.5713805209
Sum985.89
Variance0.02493998908
MonotonicityNot monotonic
2022-03-11T04:04:28.795100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4577
 
3.9%
0.4774
 
3.7%
0.4167
 
3.4%
0.4366
 
3.3%
0.461
 
3.1%
0.5758
 
2.9%
0.4654
 
2.7%
0.5154
 
2.7%
0.4854
 
2.7%
0.4953
 
2.7%
Other values (84)1376
69.0%
ValueCountFrequency (%)
04
0.2%
0.031
 
0.1%
0.042
0.1%
0.071
 
0.1%
0.082
0.1%
ValueCountFrequency (%)
131
1.6%
0.991
 
0.1%
0.963
 
0.2%
0.951
 
0.1%
0.941
 
0.1%

PersPerRentOccHous numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4040972919
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:28.889767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.17
Q10.27
median0.36
Q30.49
95-th percentile0.81
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1893009099
Coefficient of variation (CV)0.4684537949
Kurtosis1.256728391
Mean0.4040972919
Median Absolute Deviation (MAD)0.1
Skewness1.115498007
Sum805.77
Variance0.03583483448
MonotonicityNot monotonic
2022-03-11T04:04:28.981512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3267
 
3.4%
0.365
 
3.3%
0.2964
 
3.2%
0.3663
 
3.2%
0.3762
 
3.1%
0.3561
 
3.1%
0.2855
 
2.8%
0.3455
 
2.8%
0.2752
 
2.6%
0.2652
 
2.6%
Other values (88)1398
70.1%
ValueCountFrequency (%)
01
 
0.1%
0.031
 
0.1%
0.041
 
0.1%
0.052
0.1%
0.063
0.2%
ValueCountFrequency (%)
135
1.8%
0.994
 
0.2%
0.983
 
0.2%
0.973
 
0.2%
0.961
 
0.1%

PctPersOwnOccup numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5625977934
Minimum0
Maximum1
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.081457image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.44
median0.56
Q30.7
95-th percentile0.89
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.1970870958
Coefficient of variation (CV)0.3503161551
Kurtosis-0.2547497358
Mean0.5625977934
Median Absolute Deviation (MAD)0.13
Skewness-0.1140655492
Sum1121.82
Variance0.03884332335
MonotonicityNot monotonic
2022-03-11T04:04:29.165302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5451
 
2.6%
0.5249
 
2.5%
0.5748
 
2.4%
0.5946
 
2.3%
0.5545
 
2.3%
0.5645
 
2.3%
0.4945
 
2.3%
0.4742
 
2.1%
0.4842
 
2.1%
0.4541
 
2.1%
Other values (90)1540
77.2%
ValueCountFrequency (%)
08
0.4%
0.011
 
0.1%
0.021
 
0.1%
0.043
 
0.2%
0.051
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.993
 
0.2%
0.983
 
0.2%
0.975
0.3%
0.968
0.4%

PctPersDenseHous numeric
Real number (ℝ≥0)

Distinct94
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1862637914
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.264371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.06
median0.11
Q30.22
95-th percentile0.67
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.2099564684
Coefficient of variation (CV)1.127199586
Kurtosis5.570068523
Mean0.1862637914
Median Absolute Deviation (MAD)0.07
Skewness2.335844868
Sum371.41
Variance0.04408171864
MonotonicityNot monotonic
2022-03-11T04:04:29.353916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06142
 
7.1%
0.04126
 
6.3%
0.05123
 
6.2%
0.03103
 
5.2%
0.0797
 
4.9%
0.0892
 
4.6%
0.187
 
4.4%
0.0279
 
4.0%
0.0976
 
3.8%
0.1271
 
3.6%
Other values (84)998
50.1%
ValueCountFrequency (%)
02
 
0.1%
0.0133
 
1.7%
0.0279
4.0%
0.03103
5.2%
0.04126
6.3%
ValueCountFrequency (%)
150
2.5%
0.992
 
0.1%
0.981
 
0.1%
0.971
 
0.1%
0.962
 
0.1%

PctHousLess3BR numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4951855567
Minimum0
Maximum1
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.438118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19
Q10.4
median0.51
Q30.6
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.172508108
Coefficient of variation (CV)0.3483706375
Kurtosis0.3045960543
Mean0.4951855567
Median Absolute Deviation (MAD)0.1
Skewness-0.1487720904
Sum987.4
Variance0.02975904734
MonotonicityNot monotonic
2022-03-11T04:04:29.546349image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5575
 
3.8%
0.5375
 
3.8%
0.5163
 
3.2%
0.5758
 
2.9%
0.5856
 
2.8%
0.4856
 
2.8%
0.4753
 
2.7%
0.4652
 
2.6%
0.4952
 
2.6%
0.551
 
2.6%
Other values (90)1403
70.4%
ValueCountFrequency (%)
06
0.3%
0.011
 
0.1%
0.022
 
0.1%
0.031
 
0.1%
0.042
 
0.1%
ValueCountFrequency (%)
15
0.3%
0.992
 
0.1%
0.981
 
0.1%
0.971
 
0.1%
0.954
0.2%

MedNumBR numeric
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3146940822
Minimum0
Maximum1
Zeros766
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.620274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q30.5
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.2551815892
Coefficient of variation (CV)0.8108877909
Kurtosis-1.238000708
Mean0.3146940822
Median Absolute Deviation (MAD)0
Skewness-0.2279129179
Sum627.5
Variance0.06511764345
MonotonicityNot monotonic
2022-03-11T04:04:29.678383image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.51201
60.2%
0766
38.4%
127
 
1.4%
ValueCountFrequency (%)
0766
38.4%
0.51201
60.2%
127
 
1.4%
ValueCountFrequency (%)
127
 
1.4%
0.51201
60.2%
0766
38.4%

HousVacant numeric
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07681544634
Minimum0
Maximum1
Zeros82
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.756082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.03
Q30.07
95-th percentile0.31
Maximum1
Range1
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.1504645392
Coefficient of variation (CV)1.95877973
Kurtosis20.45246147
Mean0.07681544634
Median Absolute Deviation (MAD)0.02
Skewness4.293549209
Sum153.17
Variance0.02263957756
MonotonicityNot monotonic
2022-03-11T04:04:29.856637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01440
22.1%
0.02358
18.0%
0.03237
11.9%
0.04174
 
8.7%
0.05116
 
5.8%
082
 
4.1%
0.0674
 
3.7%
0.0768
 
3.4%
0.0851
 
2.6%
0.0937
 
1.9%
Other values (60)357
17.9%
ValueCountFrequency (%)
082
 
4.1%
0.01440
22.1%
0.02358
18.0%
0.03237
11.9%
0.04174
 
8.7%
ValueCountFrequency (%)
126
1.3%
0.891
 
0.1%
0.831
 
0.1%
0.793
 
0.2%
0.761
 
0.1%

PctHousOccup numeric
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7195486459
Minimum0
Maximum1
Zeros39
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:29.956562image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.37
Q10.63
median0.77
Q30.86
95-th percentile0.93
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.194024111
Coefficient of variation (CV)0.2696469684
Kurtosis2.98522476
Mean0.7195486459
Median Absolute Deviation (MAD)0.11
Skewness-1.584066988
Sum1434.78
Variance0.03764535564
MonotonicityNot monotonic
2022-03-11T04:04:30.056159image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8873
 
3.7%
0.8373
 
3.7%
0.8469
 
3.5%
0.8966
 
3.3%
0.8159
 
3.0%
0.8758
 
2.9%
0.857
 
2.9%
0.8557
 
2.9%
0.8257
 
2.9%
0.956
 
2.8%
Other values (82)1369
68.7%
ValueCountFrequency (%)
039
2.0%
0.022
 
0.1%
0.042
 
0.1%
0.051
 
0.1%
0.063
 
0.2%
ValueCountFrequency (%)
12
 
0.1%
0.983
 
0.2%
0.977
 
0.4%
0.9614
0.7%
0.9518
0.9%

PctHousOwnOcc numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5486860582
Minimum0
Maximum1
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:30.152573image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q10.43
median0.54
Q30.67
95-th percentile0.87
Maximum1
Range1
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.1852040242
Coefficient of variation (CV)0.3375409699
Kurtosis-0.06655012494
Mean0.5486860582
Median Absolute Deviation (MAD)0.12
Skewness-0.04611458984
Sum1094.08
Variance0.03430053059
MonotonicityNot monotonic
2022-03-11T04:04:30.239604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5257
 
2.9%
0.4754
 
2.7%
0.4854
 
2.7%
0.553
 
2.7%
0.5552
 
2.6%
0.4951
 
2.6%
0.5651
 
2.6%
0.5948
 
2.4%
0.5846
 
2.3%
0.5446
 
2.3%
Other values (89)1482
74.3%
ValueCountFrequency (%)
03
0.2%
0.014
0.2%
0.022
0.1%
0.033
0.2%
0.041
 
0.1%
ValueCountFrequency (%)
12
 
0.1%
0.993
0.2%
0.983
0.2%
0.973
0.2%
0.965
0.3%

PctVacantBoarded numeric
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2045285858
Minimum0
Maximum1
Zeros115
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:30.339564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median0.13
Q30.27
95-th percentile0.72
Maximum1
Range1
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.2177702621
Coefficient of variation (CV)1.064742423
Kurtosis3.575157138
Mean0.2045285858
Median Absolute Deviation (MAD)0.09
Skewness1.899554277
Sum407.83
Variance0.04742388704
MonotonicityNot monotonic
2022-03-11T04:04:30.439216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0115
 
5.8%
0.0391
 
4.6%
0.0589
 
4.5%
0.0481
 
4.1%
0.179
 
4.0%
0.0676
 
3.8%
0.0775
 
3.8%
0.0872
 
3.6%
0.0970
 
3.5%
0.1468
 
3.4%
Other values (87)1178
59.1%
ValueCountFrequency (%)
0115
5.8%
0.0132
 
1.6%
0.0265
3.3%
0.0391
4.6%
0.0481
4.1%
ValueCountFrequency (%)
140
2.0%
0.991
 
0.1%
0.974
 
0.2%
0.961
 
0.1%
0.941
 
0.1%

PctVacMore6Mos numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.433335005
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:30.548937image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q10.29
median0.42
Q30.56
95-th percentile0.77
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.1889856227
Coefficient of variation (CV)0.4361189853
Kurtosis-0.2519056437
Mean0.433335005
Median Absolute Deviation (MAD)0.13
Skewness0.3744673844
Sum864.07
Variance0.03571556559
MonotonicityNot monotonic
2022-03-11T04:04:30.641059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4452
 
2.6%
0.3748
 
2.4%
0.2946
 
2.3%
0.4345
 
2.3%
0.4744
 
2.2%
0.4542
 
2.1%
0.3441
 
2.1%
0.4641
 
2.1%
0.2440
 
2.0%
0.3840
 
2.0%
Other values (88)1555
78.0%
ValueCountFrequency (%)
01
 
0.1%
0.033
0.2%
0.041
 
0.1%
0.053
0.2%
0.061
 
0.1%
ValueCountFrequency (%)
16
0.3%
0.982
 
0.1%
0.972
 
0.1%
0.961
 
0.1%
0.951
 
0.1%

MedYrHousBuilt numeric
Real number (ℝ≥0)

ZEROS

Distinct49
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4941775326
Minimum0
Maximum1
Zeros117
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:30.723051image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.35
median0.52
Q30.67
95-th percentile0.83
Maximum1
Range1
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2324667575
Coefficient of variation (CV)0.4704114254
Kurtosis-0.4023385991
Mean0.4941775326
Median Absolute Deviation (MAD)0.15
Skewness-0.419563586
Sum985.39
Variance0.05404079335
MonotonicityNot monotonic
2022-03-11T04:04:30.834338image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0117
 
5.9%
0.5291
 
4.6%
0.4881
 
4.1%
0.5477
 
3.9%
0.575
 
3.8%
0.6775
 
3.8%
0.5671
 
3.6%
0.471
 
3.6%
0.6567
 
3.4%
0.6364
 
3.2%
Other values (39)1205
60.4%
ValueCountFrequency (%)
0117
5.9%
0.028
 
0.4%
0.0414
 
0.7%
0.0610
 
0.5%
0.0810
 
0.5%
ValueCountFrequency (%)
12
 
0.1%
0.983
 
0.2%
0.969
0.5%
0.948
0.4%
0.9210
0.5%

PctHousNoPhone numeric
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2644784353
Minimum0
Maximum1
Zeros43
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:30.931193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.06
median0.185
Q30.42
95-th percentile0.74
Maximum1
Range1
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.2428469994
Coefficient of variation (CV)0.9182109653
Kurtosis0.2154856613
Mean0.2644784353
Median Absolute Deviation (MAD)0.145
Skewness0.9936275826
Sum527.37
Variance0.05897466511
MonotonicityNot monotonic
2022-03-11T04:04:31.033303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0198
 
4.9%
0.0393
 
4.7%
0.0291
 
4.6%
0.0581
 
4.1%
0.0474
 
3.7%
0.0658
 
2.9%
0.0754
 
2.7%
0.148
 
2.4%
0.0943
 
2.2%
043
 
2.2%
Other values (89)1311
65.7%
ValueCountFrequency (%)
043
2.2%
0.0198
4.9%
0.0291
4.6%
0.0393
4.7%
0.0474
3.7%
ValueCountFrequency (%)
119
1.0%
0.992
 
0.1%
0.981
 
0.1%
0.974
 
0.2%
0.952
 
0.1%

PctWOFullPlumb numeric
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2430591775
Minimum0
Maximum1
Zeros133
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:31.116004image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.19
Q30.33
95-th percentile0.67
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.2062949858
Coefficient of variation (CV)0.8487438653
Kurtosis2.797565263
Mean0.2430591775
Median Absolute Deviation (MAD)0.1
Skewness1.572908924
Sum484.66
Variance0.04255762118
MonotonicityNot monotonic
2022-03-11T04:04:31.222970image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0133
 
6.7%
0.1179
 
4.0%
0.0769
 
3.5%
0.1368
 
3.4%
0.1663
 
3.2%
0.1863
 
3.2%
0.0962
 
3.1%
0.1460
 
3.0%
0.160
 
3.0%
0.258
 
2.9%
Other values (81)1279
64.1%
ValueCountFrequency (%)
0133
6.7%
0.013
 
0.2%
0.0213
 
0.7%
0.0321
 
1.1%
0.0421
 
1.1%
ValueCountFrequency (%)
138
1.9%
0.972
 
0.1%
0.942
 
0.1%
0.931
 
0.1%
0.91
 
0.1%

OwnOccLowQuart numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2646890672
Minimum0
Maximum1
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:31.317781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.09
median0.18
Q30.4
95-th percentile0.73
Maximum1
Range1
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.2244246222
Coefficient of variation (CV)0.8478802112
Kurtosis1.273979965
Mean0.2646890672
Median Absolute Deviation (MAD)0.11
Skewness1.312153662
Sum527.79
Variance0.05036641105
MonotonicityNot monotonic
2022-03-11T04:04:31.417817image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09100
 
5.0%
0.0778
 
3.9%
0.0677
 
3.9%
0.0571
 
3.6%
0.171
 
3.6%
0.1370
 
3.5%
0.0870
 
3.5%
0.1167
 
3.4%
0.1662
 
3.1%
0.1860
 
3.0%
Other values (89)1268
63.6%
ValueCountFrequency (%)
04
 
0.2%
0.0111
 
0.6%
0.0218
 
0.9%
0.0327
1.4%
0.0458
2.9%
ValueCountFrequency (%)
136
1.8%
0.981
 
0.1%
0.961
 
0.1%
0.952
 
0.1%
0.941
 
0.1%

OwnOccMedVal numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2634904714
Minimum0
Maximum1
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:31.529252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.09
median0.17
Q30.39
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2315422088
Coefficient of variation (CV)0.8787498368
Kurtosis1.416923876
Mean0.2634904714
Median Absolute Deviation (MAD)0.11
Skewness1.375257874
Sum525.4
Variance0.05361179444
MonotonicityNot monotonic
2022-03-11T04:04:31.626756image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0884
 
4.2%
0.0583
 
4.2%
0.183
 
4.2%
0.0980
 
4.0%
0.0778
 
3.9%
0.1274
 
3.7%
0.0674
 
3.7%
0.1170
 
3.5%
0.1370
 
3.5%
0.0460
 
3.0%
Other values (90)1238
62.1%
ValueCountFrequency (%)
04
 
0.2%
0.0112
 
0.6%
0.0216
 
0.8%
0.0336
1.8%
0.0460
3.0%
ValueCountFrequency (%)
142
2.1%
0.992
 
0.1%
0.983
 
0.2%
0.973
 
0.2%
0.963
 
0.2%

OwnOccHiQuart numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2689418255
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:31.718767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.09
median0.18
Q30.38
95-th percentile0.81
Maximum1
Range1
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.2352522824
Coefficient of variation (CV)0.8747329722
Kurtosis1.570138232
Mean0.2689418255
Median Absolute Deviation (MAD)0.11
Skewness1.446157537
Sum536.27
Variance0.05534363635
MonotonicityNot monotonic
2022-03-11T04:04:31.818302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08122
 
6.1%
0.09105
 
5.3%
0.0782
 
4.1%
0.1382
 
4.1%
0.1175
 
3.8%
0.1273
 
3.7%
0.0573
 
3.7%
0.1471
 
3.6%
0.0668
 
3.4%
0.157
 
2.9%
Other values (88)1186
59.5%
ValueCountFrequency (%)
01
 
0.1%
0.015
 
0.3%
0.0215
0.8%
0.0316
0.8%
0.0431
1.6%
ValueCountFrequency (%)
154
2.7%
0.984
 
0.2%
0.975
 
0.3%
0.962
 
0.1%
0.941
 
0.1%

RentLowQ numeric
Real number (ℝ≥0)

Distinct101
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3463791374
Minimum0
Maximum1
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:31.906178image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.17
median0.31
Q30.49
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2193225639
Coefficient of variation (CV)0.633186414
Kurtosis-0.1492721431
Mean0.3463791374
Median Absolute Deviation (MAD)0.16
Skewness0.6609222692
Sum690.68
Variance0.04810238704
MonotonicityNot monotonic
2022-03-11T04:04:32.255569image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1353
 
2.7%
0.2350
 
2.5%
0.1248
 
2.4%
0.143
 
2.2%
0.243
 
2.2%
0.3540
 
2.0%
0.1640
 
2.0%
0.1737
 
1.9%
0.0836
 
1.8%
0.1436
 
1.8%
Other values (91)1568
78.6%
ValueCountFrequency (%)
018
0.9%
0.0111
0.6%
0.0216
0.8%
0.0312
0.6%
0.0417
0.9%
ValueCountFrequency (%)
110
0.5%
0.993
 
0.2%
0.984
 
0.2%
0.971
 
0.1%
0.962
 
0.1%

RentMedian numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3724573721
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:32.339942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11
Q10.2
median0.33
Q30.52
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2092779728
Coefficient of variation (CV)0.5618843616
Kurtosis0.06308883907
Mean0.3724573721
Median Absolute Deviation (MAD)0.15
Skewness0.7533886514
Sum742.68
Variance0.04379726988
MonotonicityNot monotonic
2022-03-11T04:04:32.439151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1953
 
2.7%
0.248
 
2.4%
0.2647
 
2.4%
0.1447
 
2.4%
0.1746
 
2.3%
0.2146
 
2.3%
0.1545
 
2.3%
0.2542
 
2.1%
0.1842
 
2.1%
0.1642
 
2.1%
Other values (89)1536
77.0%
ValueCountFrequency (%)
01
 
0.1%
0.021
 
0.1%
0.031
 
0.1%
0.043
0.2%
0.057
0.4%
ValueCountFrequency (%)
123
1.2%
0.991
 
0.1%
0.983
 
0.2%
0.962
 
0.1%
0.953
 
0.2%

RentHighQ numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4229638917
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:32.539941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.22
median0.37
Q30.59
95-th percentile0.93
Maximum1
Range1
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.2482858276
Coefficient of variation (CV)0.5870142404
Kurtosis-0.4531366571
Mean0.4229638917
Median Absolute Deviation (MAD)0.18
Skewness0.6860053766
Sum843.39
Variance0.06164585218
MonotonicityNot monotonic
2022-03-11T04:04:32.630527image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174
 
3.7%
0.2657
 
2.9%
0.1455
 
2.8%
0.1653
 
2.7%
0.2446
 
2.3%
0.1946
 
2.3%
0.1845
 
2.3%
0.2345
 
2.3%
0.2541
 
2.1%
0.2240
 
2.0%
Other values (89)1492
74.8%
ValueCountFrequency (%)
01
 
0.1%
0.032
0.1%
0.041
 
0.1%
0.054
0.2%
0.064
0.2%
ValueCountFrequency (%)
174
3.7%
0.993
 
0.2%
0.984
 
0.2%
0.973
 
0.2%
0.963
 
0.2%

MedRent numeric
Real number (ℝ≥0)

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3841023069
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:32.730383image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.21
median0.34
Q30.53
95-th percentile0.79
Maximum1
Range1
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2134043498
Coefficient of variation (CV)0.555592471
Kurtosis0.001963745858
Mean0.3841023069
Median Absolute Deviation (MAD)0.15
Skewness0.77571926
Sum765.9
Variance0.04554141652
MonotonicityNot monotonic
2022-03-11T04:04:32.824801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1765
 
3.3%
0.2150
 
2.5%
0.1550
 
2.5%
0.2350
 
2.5%
0.249
 
2.5%
0.1848
 
2.4%
0.2946
 
2.3%
0.2444
 
2.2%
0.4144
 
2.2%
0.2244
 
2.2%
Other values (90)1504
75.4%
ValueCountFrequency (%)
01
 
0.1%
0.021
 
0.1%
0.031
 
0.1%
0.041
 
0.1%
0.053
0.2%
ValueCountFrequency (%)
124
1.2%
0.993
 
0.2%
0.982
 
0.1%
0.974
 
0.2%
0.963
 
0.2%

MedRentPctHousInc numeric
Real number (ℝ≥0)

Distinct95
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4901253761
Minimum0
Maximum1
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:32.906628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.37
median0.48
Q30.59
95-th percentile0.8
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.169499823
Coefficient of variation (CV)0.3458295188
Kurtosis0.5239945407
Mean0.4901253761
Median Absolute Deviation (MAD)0.11
Skewness0.4649052233
Sum977.31
Variance0.02873018999
MonotonicityNot monotonic
2022-03-11T04:04:32.994112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.482
 
4.1%
0.3872
 
3.6%
0.3762
 
3.1%
0.5160
 
3.0%
0.5560
 
3.0%
0.4455
 
2.8%
0.5254
 
2.7%
0.5352
 
2.6%
0.4951
 
2.6%
0.5651
 
2.6%
Other values (85)1395
70.0%
ValueCountFrequency (%)
03
0.2%
0.021
 
0.1%
0.032
0.1%
0.051
 
0.1%
0.061
 
0.1%
ValueCountFrequency (%)
129
1.5%
0.993
 
0.2%
0.981
 
0.1%
0.971
 
0.1%
0.961
 
0.1%

MedOwnCostPctInc numeric
Real number (ℝ≥0)

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4497542628
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.077261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q10.32
median0.45
Q30.58
95-th percentile0.76
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.187273703
Coefficient of variation (CV)0.4163911684
Kurtosis-0.3891257898
Mean0.4497542628
Median Absolute Deviation (MAD)0.13
Skewness0.1140034908
Sum896.81
Variance0.03507143983
MonotonicityNot monotonic
2022-03-11T04:04:33.172011image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4166
 
3.3%
0.5466
 
3.3%
0.5157
 
2.9%
0.4952
 
2.6%
0.4649
 
2.5%
0.3749
 
2.5%
0.4248
 
2.4%
0.5648
 
2.4%
0.6347
 
2.4%
0.4447
 
2.4%
Other values (87)1465
73.5%
ValueCountFrequency (%)
01
 
0.1%
0.011
 
0.1%
0.033
0.2%
0.045
0.3%
0.051
 
0.1%
ValueCountFrequency (%)
14
0.2%
0.991
 
0.1%
0.971
 
0.1%
0.963
0.2%
0.944
0.2%

MedOwnCostPctIncNoMtg numeric
Real number (ℝ≥0)

Distinct70
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4038164493
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.256135image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.15
Q10.25
median0.37
Q30.51
95-th percentile0.78
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.1925934871
Coefficient of variation (CV)0.476933239
Kurtosis0.6302289516
Mean0.4038164493
Median Absolute Deviation (MAD)0.12
Skewness0.885258671
Sum805.21
Variance0.03709225129
MonotonicityNot monotonic
2022-03-11T04:04:33.349323image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2476
 
3.8%
0.2272
 
3.6%
0.2867
 
3.4%
0.3767
 
3.4%
0.3165
 
3.3%
0.3965
 
3.3%
0.4262
 
3.1%
0.3259
 
3.0%
0.3659
 
3.0%
0.3559
 
3.0%
Other values (60)1343
67.4%
ValueCountFrequency (%)
02
 
0.1%
0.041
 
0.1%
0.061
 
0.1%
0.073
0.2%
0.087
0.4%
ValueCountFrequency (%)
130
1.5%
0.991
 
0.1%
0.972
 
0.1%
0.966
 
0.3%
0.944
 
0.2%

NumInShelters numeric
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02943831494
Minimum0
Maximum1
Zeros1260
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.443702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.14
Maximum1
Range1
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.1026066953
Coefficient of variation (CV)3.485481269
Kurtosis53.29204025
Mean0.02943831494
Median Absolute Deviation (MAD)0
Skewness6.739592461
Sum58.7
Variance0.01052813393
MonotonicityNot monotonic
2022-03-11T04:04:33.538221image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01260
63.2%
0.01248
 
12.4%
0.0290
 
4.5%
0.0383
 
4.2%
0.0455
 
2.8%
0.0539
 
2.0%
0.0629
 
1.5%
0.0723
 
1.2%
0.0815
 
0.8%
111
 
0.6%
Other values (44)141
 
7.1%
ValueCountFrequency (%)
01260
63.2%
0.01248
 
12.4%
0.0290
 
4.5%
0.0383
 
4.2%
0.0455
 
2.8%
ValueCountFrequency (%)
111
0.6%
0.911
 
0.1%
0.791
 
0.1%
0.751
 
0.1%
0.71
 
0.1%

NumStreet numeric
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02277833501
Minimum0
Maximum1
Zeros1597
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.629813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1004001228
Coefficient of variation (CV)4.407702441
Kurtosis55.82791613
Mean0.02277833501
Median Absolute Deviation (MAD)0
Skewness7.019564234
Sum45.42
Variance0.01008018466
MonotonicityNot monotonic
2022-03-11T04:04:33.714124image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01597
80.1%
0.01105
 
5.3%
0.0254
 
2.7%
0.0339
 
2.0%
0.0424
 
1.2%
0.0622
 
1.1%
0.0519
 
1.0%
0.0812
 
0.6%
0.0712
 
0.6%
0.099
 
0.5%
Other values (43)101
 
5.1%
ValueCountFrequency (%)
01597
80.1%
0.01105
 
5.3%
0.0254
 
2.7%
0.0339
 
2.0%
0.0424
 
1.2%
ValueCountFrequency (%)
19
0.5%
0.891
 
0.1%
0.851
 
0.1%
0.841
 
0.1%
0.81
 
0.1%

PctForeignBorn numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.215551655
Minimum0
Maximum1
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.798013image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.06
median0.13
Q30.28
95-th percentile0.7435
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.2311341647
Coefficient of variation (CV)1.072291302
Kurtosis2.642502345
Mean0.215551655
Median Absolute Deviation (MAD)0.09
Skewness1.756963523
Sum429.81
Variance0.0534230021
MonotonicityNot monotonic
2022-03-11T04:04:33.898255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03110
 
5.5%
0.04102
 
5.1%
0.0590
 
4.5%
0.0288
 
4.4%
0.0778
 
3.9%
0.0677
 
3.9%
0.177
 
3.9%
0.0975
 
3.8%
0.0172
 
3.6%
0.0870
 
3.5%
Other values (86)1155
57.9%
ValueCountFrequency (%)
018
 
0.9%
0.0172
3.6%
0.0288
4.4%
0.03110
5.5%
0.04102
5.1%
ValueCountFrequency (%)
149
2.5%
0.971
 
0.1%
0.961
 
0.1%
0.942
 
0.1%
0.933
 
0.2%

PctBornSameState numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.608891675
Minimum0
Maximum1
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:33.993572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.47
median0.63
Q30.7775
95-th percentile0.89
Maximum1
Range1
Interquartile range (IQR)0.3075

Descriptive statistics

Standard deviation0.2043285365
Coefficient of variation (CV)0.3355745281
Kurtosis-0.3045113721
Mean0.608891675
Median Absolute Deviation (MAD)0.15
Skewness-0.5305104988
Sum1214.13
Variance0.04175015083
MonotonicityNot monotonic
2022-03-11T04:04:34.080786image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7852
 
2.6%
0.7148
 
2.4%
0.7947
 
2.4%
0.7744
 
2.2%
0.7543
 
2.2%
0.4842
 
2.1%
0.641
 
2.1%
0.7240
 
2.0%
0.840
 
2.0%
0.6839
 
2.0%
Other values (89)1558
78.1%
ValueCountFrequency (%)
05
0.3%
0.022
 
0.1%
0.041
 
0.1%
0.052
 
0.1%
0.065
0.3%
ValueCountFrequency (%)
13
0.2%
0.993
0.2%
0.985
0.3%
0.975
0.3%
0.964
0.2%

PctSameHouse85 numeric
Real number (ℝ≥0)

Distinct99
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5350501505
Minimum0
Maximum1
Zeros7
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:34.176026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.42
median0.54
Q30.66
95-th percentile0.83
Maximum1
Range1
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.1813519571
Coefficient of variation (CV)0.3389438485
Kurtosis-0.08677825339
Mean0.5350501505
Median Absolute Deviation (MAD)0.12
Skewness-0.2435765447
Sum1066.89
Variance0.03288853236
MonotonicityNot monotonic
2022-03-11T04:04:34.255950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5955
 
2.8%
0.6152
 
2.6%
0.5451
 
2.6%
0.5351
 
2.6%
0.5548
 
2.4%
0.5848
 
2.4%
0.648
 
2.4%
0.4347
 
2.4%
0.4947
 
2.4%
0.6744
 
2.2%
Other values (89)1503
75.4%
ValueCountFrequency (%)
07
0.4%
0.012
 
0.1%
0.022
 
0.1%
0.032
 
0.1%
0.041
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.992
0.1%
0.972
0.1%
0.963
0.2%
0.952
0.1%

PctSameCity85 numeric
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6264242728
Minimum0
Maximum1
Zeros33
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:34.348878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22
Q10.52
median0.67
Q30.77
95-th percentile0.88
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.200521404
Coefficient of variation (CV)0.3201047799
Kurtosis0.9469744498
Mean0.6264242728
Median Absolute Deviation (MAD)0.12
Skewness-1.024145735
Sum1249.09
Variance0.04020883345
MonotonicityNot monotonic
2022-03-11T04:04:34.451402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7457
 
2.9%
0.7755
 
2.8%
0.7354
 
2.7%
0.6751
 
2.6%
0.7251
 
2.6%
0.7950
 
2.5%
0.849
 
2.5%
0.7148
 
2.4%
0.6146
 
2.3%
0.6346
 
2.3%
Other values (90)1487
74.6%
ValueCountFrequency (%)
033
1.7%
0.011
 
0.1%
0.021
 
0.1%
0.032
 
0.1%
0.041
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.991
 
0.1%
0.982
0.1%
0.973
0.2%
0.962
0.1%

PctSameState85 numeric
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6515295888
Minimum0
Maximum1
Zeros34
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:34.539291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24
Q10.56
median0.7
Q30.79
95-th percentile0.88
Maximum1
Range1
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1982211848
Coefficient of variation (CV)0.3042397279
Kurtosis1.547624416
Mean0.6515295888
Median Absolute Deviation (MAD)0.11
Skewness-1.295041634
Sum1299.15
Variance0.03929163811
MonotonicityNot monotonic
2022-03-11T04:04:34.638286image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7975
 
3.8%
0.7668
 
3.4%
0.8163
 
3.2%
0.7562
 
3.1%
0.7860
 
3.0%
0.8257
 
2.9%
0.857
 
2.9%
0.8354
 
2.7%
0.7453
 
2.7%
0.6953
 
2.7%
Other values (87)1392
69.8%
ValueCountFrequency (%)
034
1.7%
0.011
 
0.1%
0.025
 
0.3%
0.032
 
0.1%
0.054
 
0.2%
ValueCountFrequency (%)
11
 
0.1%
0.971
 
0.1%
0.961
 
0.1%
0.952
 
0.1%
0.946
0.3%

LemasSwornFT numeric
Real number (ℝ≥0)

MISSING

Distinct38
Distinct (%)11.9%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.06965517241
Minimum0
Maximum1
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:34.732899image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.02
Q30.06
95-th percentile0.291
Maximum1
Range1
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.1382375823
Coefficient of variation (CV)1.984598953
Kurtosis25.99389963
Mean0.06965517241
Median Absolute Deviation (MAD)0.01
Skewness4.699682413
Sum22.22
Variance0.01910962915
MonotonicityNot monotonic
2022-03-11T04:04:34.814265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0280
 
4.0%
0.0179
 
4.0%
0.0337
 
1.9%
0.0425
 
1.3%
0.0514
 
0.7%
0.0714
 
0.7%
0.067
 
0.4%
0.086
 
0.3%
0.144
 
0.2%
14
 
0.2%
Other values (28)49
 
2.5%
(Missing)1675
84.0%
ValueCountFrequency (%)
03
 
0.2%
0.0179
4.0%
0.0280
4.0%
0.0337
1.9%
0.0425
 
1.3%
ValueCountFrequency (%)
14
0.2%
0.631
 
0.1%
0.581
 
0.1%
0.541
 
0.1%
0.451
 
0.1%

LemasSwFTPerPop numeric
Real number (ℝ≥0)

MISSING

Distinct52
Distinct (%)16.3%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.217460815
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:34.905597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.13
median0.18
Q30.25
95-th percentile0.437
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1599276887
Coefficient of variation (CV)0.7354322139
Kurtosis10.75651761
Mean0.217460815
Median Absolute Deviation (MAD)0.06
Skewness2.953455776
Sum69.37
Variance0.0255768656
MonotonicityNot monotonic
2022-03-11T04:04:35.005539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.219
 
1.0%
0.119
 
1.0%
0.1518
 
0.9%
0.1616
 
0.8%
0.1916
 
0.8%
0.1415
 
0.8%
0.1815
 
0.8%
0.1715
 
0.8%
0.1314
 
0.7%
0.2513
 
0.7%
Other values (42)159
 
8.0%
(Missing)1675
84.0%
ValueCountFrequency (%)
01
 
0.1%
0.023
0.2%
0.032
0.1%
0.041
 
0.1%
0.051
 
0.1%
ValueCountFrequency (%)
15
0.3%
0.981
 
0.1%
0.851
 
0.1%
0.831
 
0.1%
0.721
 
0.1%

LemasSwFTFieldOps numeric
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)10.7%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.9247335423
Minimum0
Maximum1
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:35.088703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.748
Q10.93
median0.97
Q30.98
95-th percentile0.98
Maximum1
Range1
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.1322489594
Coefficient of variation (CV)0.1430130447
Kurtosis29.95176913
Mean0.9247335423
Median Absolute Deviation (MAD)0.01
Skewness-5.052340502
Sum294.99
Variance0.01748978727
MonotonicityNot monotonic
2022-03-11T04:04:35.172766image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.9881
 
4.1%
0.9779
 
4.0%
0.9635
 
1.8%
0.9526
 
1.3%
0.9312
 
0.6%
0.9411
 
0.6%
0.9210
 
0.5%
0.917
 
0.4%
0.876
 
0.3%
0.995
 
0.3%
Other values (24)47
 
2.4%
(Missing)1675
84.0%
ValueCountFrequency (%)
04
0.2%
0.371
 
0.1%
0.491
 
0.1%
0.531
 
0.1%
0.551
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.995
 
0.3%
0.9881
4.1%
0.9779
4.0%
0.9635
1.8%

LemasSwFTFieldPerPop numeric
Real number (ℝ≥0)

MISSING

Distinct55
Distinct (%)17.2%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.2463322884
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:35.255827image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.16
median0.21
Q30.29
95-th percentile0.481
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.1550452234
Coefficient of variation (CV)0.6294149437
Kurtosis9.054100708
Mean0.2463322884
Median Absolute Deviation (MAD)0.07
Skewness2.533390942
Sum78.58
Variance0.02403902131
MonotonicityNot monotonic
2022-03-11T04:04:35.348252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1917
 
0.9%
0.1417
 
0.9%
0.2116
 
0.8%
0.215
 
0.8%
0.3214
 
0.7%
0.1314
 
0.7%
0.1714
 
0.7%
0.1214
 
0.7%
0.1613
 
0.7%
0.2512
 
0.6%
Other values (45)173
 
8.7%
(Missing)1675
84.0%
ValueCountFrequency (%)
01
 
0.1%
0.012
0.1%
0.033
0.2%
0.044
0.2%
0.061
 
0.1%
ValueCountFrequency (%)
15
0.3%
0.881
 
0.1%
0.861
 
0.1%
0.81
 
0.1%
0.651
 
0.1%

LemasTotalReq numeric
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)13.8%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.09799373041
Minimum0
Maximum1
Zeros7
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:35.439545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.04
Q30.085
95-th percentile0.421
Maximum1
Range1
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.1619274236
Coefficient of variation (CV)1.652426364
Kurtosis13.83177928
Mean0.09799373041
Median Absolute Deviation (MAD)0.02
Skewness3.489620599
Sum31.26
Variance0.02622049053
MonotonicityNot monotonic
2022-03-11T04:04:35.522023image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0255
 
2.8%
0.0349
 
2.5%
0.0132
 
1.6%
0.0429
 
1.5%
0.0526
 
1.3%
0.0617
 
0.9%
0.0714
 
0.7%
0.0810
 
0.5%
0.18
 
0.4%
07
 
0.4%
Other values (34)72
 
3.6%
(Missing)1675
84.0%
ValueCountFrequency (%)
07
 
0.4%
0.0132
1.6%
0.0255
2.8%
0.0349
2.5%
0.0429
1.5%
ValueCountFrequency (%)
14
0.2%
0.781
 
0.1%
0.742
0.1%
0.661
 
0.1%
0.631
 
0.1%

LemasTotReqPerPop numeric
Real number (ℝ≥0)

MISSING

Distinct59
Distinct (%)18.5%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.2152037618
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:35.872319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.12
median0.17
Q30.25
95-th percentile0.511
Maximum1
Range1
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.1646223213
Coefficient of variation (CV)0.7649602402
Kurtosis8.298556058
Mean0.2152037618
Median Absolute Deviation (MAD)0.06
Skewness2.5438258
Sum68.65
Variance0.02710050867
MonotonicityNot monotonic
2022-03-11T04:04:35.964665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1423
 
1.2%
0.1720
 
1.0%
0.1320
 
1.0%
0.1217
 
0.9%
0.1916
 
0.8%
0.1815
 
0.8%
0.1514
 
0.7%
0.0813
 
0.7%
0.112
 
0.6%
0.1111
 
0.6%
Other values (49)158
 
7.9%
(Missing)1675
84.0%
ValueCountFrequency (%)
02
 
0.1%
0.025
0.3%
0.031
 
0.1%
0.041
 
0.1%
0.055
0.3%
ValueCountFrequency (%)
15
0.3%
0.842
 
0.1%
0.771
 
0.1%
0.721
 
0.1%
0.691
 
0.1%

PolicReqPerOffic numeric
Real number (ℝ≥0)

MISSING

Distinct75
Distinct (%)23.5%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.3436363636
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.060076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.22
median0.29
Q30.435
95-th percentile0.741
Maximum1
Range1
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation0.1971812516
Coefficient of variation (CV)0.5738078749
Kurtosis2.098216202
Mean0.3436363636
Median Absolute Deviation (MAD)0.09
Skewness1.346714028
Sum109.62
Variance0.03888044597
MonotonicityNot monotonic
2022-03-11T04:04:36.147916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2315
 
0.8%
0.2514
 
0.7%
0.2413
 
0.7%
0.2612
 
0.6%
0.212
 
0.6%
0.311
 
0.6%
0.2211
 
0.6%
0.219
 
0.5%
0.379
 
0.5%
0.288
 
0.4%
Other values (65)205
 
10.3%
(Missing)1675
84.0%
ValueCountFrequency (%)
01
 
0.1%
0.025
0.3%
0.051
 
0.1%
0.061
 
0.1%
0.071
 
0.1%
ValueCountFrequency (%)
17
0.4%
0.991
 
0.1%
0.951
 
0.1%
0.91
 
0.1%
0.871
 
0.1%

PolicPerPop numeric
Real number (ℝ≥0)

MISSING

Distinct52
Distinct (%)16.3%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.217492163
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.238520image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.13
median0.18
Q30.25
95-th percentile0.437
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1599409652
Coefficient of variation (CV)0.7353872573
Kurtosis10.74965766
Mean0.217492163
Median Absolute Deviation (MAD)0.06
Skewness2.952234679
Sum69.38
Variance0.02558111236
MonotonicityNot monotonic
2022-03-11T04:04:36.326437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.219
 
1.0%
0.119
 
1.0%
0.1518
 
0.9%
0.1616
 
0.8%
0.1916
 
0.8%
0.1415
 
0.8%
0.1815
 
0.8%
0.1715
 
0.8%
0.1314
 
0.7%
0.2513
 
0.7%
Other values (42)159
 
8.0%
(Missing)1675
84.0%
ValueCountFrequency (%)
01
 
0.1%
0.023
0.2%
0.032
0.1%
0.041
 
0.1%
0.051
 
0.1%
ValueCountFrequency (%)
15
0.3%
0.981
 
0.1%
0.851
 
0.1%
0.831
 
0.1%
0.721
 
0.1%

RacialMatchCommPol numeric
Real number (ℝ≥0)

MISSING

Distinct76
Distinct (%)23.8%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.6894043887
Minimum0
Maximum1
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.422795image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.279
Q10.56
median0.74
Q30.86
95-th percentile0.98
Maximum1
Range1
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2268112758
Coefficient of variation (CV)0.3289959848
Kurtosis0.4366821424
Mean0.6894043887
Median Absolute Deviation (MAD)0.16
Skewness-0.8867626874
Sum219.92
Variance0.05144335482
MonotonicityNot monotonic
2022-03-11T04:04:36.514309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7812
 
0.6%
0.7710
 
0.5%
0.9510
 
0.5%
0.9410
 
0.5%
0.6210
 
0.5%
0.99
 
0.5%
0.848
 
0.4%
0.768
 
0.4%
0.368
 
0.4%
18
 
0.4%
Other values (66)226
 
11.3%
(Missing)1675
84.0%
ValueCountFrequency (%)
06
0.3%
0.091
 
0.1%
0.111
 
0.1%
0.121
 
0.1%
0.171
 
0.1%
ValueCountFrequency (%)
18
0.4%
0.993
 
0.2%
0.986
0.3%
0.973
 
0.2%
0.965
0.3%

PctPolicWhite numeric
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)23.2%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.7269592476
Minimum0
Maximum1
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.614479image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.29
Q10.62
median0.78
Q30.89
95-th percentile0.98
Maximum1
Range1
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.2214088002
Coefficient of variation (CV)0.3045683798
Kurtosis1.738727077
Mean0.7269592476
Median Absolute Deviation (MAD)0.13
Skewness-1.317389225
Sum231.9
Variance0.04902185682
MonotonicityNot monotonic
2022-03-11T04:04:36.705766image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9211
 
0.6%
0.9711
 
0.6%
0.7211
 
0.6%
0.7910
 
0.5%
0.899
 
0.5%
0.859
 
0.5%
0.699
 
0.5%
0.889
 
0.5%
0.848
 
0.4%
0.938
 
0.4%
Other values (64)224
 
11.2%
(Missing)1675
84.0%
ValueCountFrequency (%)
08
0.4%
0.061
 
0.1%
0.11
 
0.1%
0.161
 
0.1%
0.211
 
0.1%
ValueCountFrequency (%)
14
 
0.2%
0.998
0.4%
0.987
0.4%
0.9711
0.6%
0.966
0.3%

PctPolicBlack numeric
Real number (ℝ≥0)

MISSING
ZEROS

Distinct73
Distinct (%)22.9%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.2204702194
Minimum0
Maximum1
Zeros23
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.805625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.12
Q30.34
95-th percentile0.752
Maximum1
Range1
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.236271014
Coefficient of variation (CV)1.071668612
Kurtosis1.852594872
Mean0.2204702194
Median Absolute Deviation (MAD)0.09
Skewness1.512307277
Sum70.33
Variance0.05582399203
MonotonicityNot monotonic
2022-03-11T04:04:36.905504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
 
1.2%
0.0218
 
0.9%
0.0417
 
0.9%
0.0617
 
0.9%
0.0713
 
0.7%
0.0813
 
0.7%
0.0313
 
0.7%
0.0510
 
0.5%
0.0910
 
0.5%
0.1210
 
0.5%
Other values (63)175
 
8.8%
(Missing)1675
84.0%
ValueCountFrequency (%)
023
1.2%
0.013
 
0.2%
0.0218
0.9%
0.0313
0.7%
0.0417
0.9%
ValueCountFrequency (%)
16
0.3%
0.991
 
0.1%
0.941
 
0.1%
0.911
 
0.1%
0.871
 
0.1%

PctPolicHisp numeric
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)16.9%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.1348589342
Minimum0
Maximum1
Zeros72
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:36.992521image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.06
Q30.17
95-th percentile0.521
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.1961882732
Coefficient of variation (CV)1.4547666
Kurtosis7.050664614
Mean0.1348589342
Median Absolute Deviation (MAD)0.06
Skewness2.481939794
Sum43.02
Variance0.03848983853
MonotonicityNot monotonic
2022-03-11T04:04:37.072770image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
072
 
3.6%
0.0222
 
1.1%
0.0421
 
1.1%
0.0318
 
0.9%
0.0716
 
0.8%
0.0116
 
0.8%
0.1612
 
0.6%
0.0910
 
0.5%
0.0610
 
0.5%
0.059
 
0.5%
Other values (44)113
 
5.7%
(Missing)1675
84.0%
ValueCountFrequency (%)
072
3.6%
0.0116
 
0.8%
0.0222
 
1.1%
0.0318
 
0.9%
0.0421
 
1.1%
ValueCountFrequency (%)
16
0.3%
0.91
 
0.1%
0.832
 
0.1%
0.671
 
0.1%
0.651
 
0.1%

PctPolicAsian numeric
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)15.7%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.1148589342
Minimum0
Maximum1
Zeros189
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:37.164158image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.12
95-th percentile0.693
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.2273484612
Coefficient of variation (CV)1.979371155
Kurtosis6.182132811
Mean0.1148589342
Median Absolute Deviation (MAD)0
Skewness2.56818799
Sum36.64
Variance0.05168732281
MonotonicityNot monotonic
2022-03-11T04:04:37.249239image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0189
 
9.5%
18
 
0.4%
0.128
 
0.4%
0.057
 
0.4%
0.156
 
0.3%
0.046
 
0.3%
0.085
 
0.3%
0.065
 
0.3%
0.135
 
0.3%
0.114
 
0.2%
Other values (40)76
 
3.8%
(Missing)1675
84.0%
ValueCountFrequency (%)
0189
9.5%
0.012
 
0.1%
0.033
 
0.2%
0.046
 
0.3%
0.057
 
0.4%
ValueCountFrequency (%)
18
0.4%
0.981
 
0.1%
0.931
 
0.1%
0.811
 
0.1%
0.82
 
0.1%

PctPolicMinor numeric
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)22.6%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.259184953
Minimum0
Maximum1
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:37.347587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.09
median0.2
Q30.35
95-th percentile0.724
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.225654799
Coefficient of variation (CV)0.8706323281
Kurtosis2.042875826
Mean0.259184953
Median Absolute Deviation (MAD)0.13
Skewness1.438377632
Sum82.68
Variance0.05092008833
MonotonicityNot monotonic
2022-03-11T04:04:37.430579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0714
 
0.7%
0.1312
 
0.6%
0.111
 
0.6%
0.0111
 
0.6%
0.39
 
0.5%
0.349
 
0.5%
0.089
 
0.5%
0.039
 
0.5%
19
 
0.5%
0.098
 
0.4%
Other values (62)218
 
10.9%
(Missing)1675
84.0%
ValueCountFrequency (%)
06
0.3%
0.0111
0.6%
0.028
0.4%
0.039
0.5%
0.046
0.3%
ValueCountFrequency (%)
19
0.5%
0.931
 
0.1%
0.881
 
0.1%
0.811
 
0.1%
0.791
 
0.1%

OfficAssgnDrugUnits numeric
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)9.4%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.07554858934
Minimum0
Maximum1
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:37.522109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.04
Q30.08
95-th percentile0.19
Maximum1
Range1
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.1201529292
Coefficient of variation (CV)1.590405993
Kurtosis34.9779112
Mean0.07554858934
Median Absolute Deviation (MAD)0.02
Skewness5.32034303
Sum24.1
Variance0.01443672641
MonotonicityNot monotonic
2022-03-11T04:04:37.606313image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0348
 
2.4%
0.0247
 
2.4%
0.0438
 
1.9%
0.0131
 
1.6%
0.0525
 
1.3%
0.0722
 
1.1%
0.1113
 
0.7%
010
 
0.5%
0.0610
 
0.5%
0.0810
 
0.5%
Other values (20)65
 
3.3%
(Missing)1675
84.0%
ValueCountFrequency (%)
010
 
0.5%
0.0131
1.6%
0.0247
2.4%
0.0348
2.4%
0.0438
1.9%
ValueCountFrequency (%)
13
0.2%
0.731
 
0.1%
0.491
 
0.1%
0.451
 
0.1%
0.441
 
0.1%

NumKindsDrugsSeiz numeric
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)4.7%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.5560501567
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:37.683032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.21
Q10.43
median0.57
Q30.675
95-th percentile0.93
Maximum1
Range1
Interquartile range (IQR)0.245

Descriptive statistics

Standard deviation0.2031777671
Coefficient of variation (CV)0.3653946763
Kurtosis-0.1946048534
Mean0.5560501567
Median Absolute Deviation (MAD)0.14
Skewness-0.05219078826
Sum177.38
Variance0.04128120502
MonotonicityNot monotonic
2022-03-11T04:04:37.758539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.5754
 
2.7%
0.543
 
2.2%
0.6441
 
2.1%
0.4335
 
1.8%
0.3627
 
1.4%
0.7922
 
1.1%
0.7122
 
1.1%
0.9321
 
1.1%
0.2919
 
1.0%
0.8613
 
0.7%
Other values (5)22
 
1.1%
(Missing)1675
84.0%
ValueCountFrequency (%)
02
 
0.1%
0.073
 
0.2%
0.147
 
0.4%
0.218
0.4%
0.2919
1.0%
ValueCountFrequency (%)
12
 
0.1%
0.9321
1.1%
0.8613
0.7%
0.7922
1.1%
0.7122
1.1%

PolicAveOTWorked numeric
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)24.1%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.3059874608
Minimum0
Maximum1
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:37.854669image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.039
Q10.14
median0.26
Q30.395
95-th percentile0.762
Maximum1
Range1
Interquartile range (IQR)0.255

Descriptive statistics

Standard deviation0.2268838948
Coefficient of variation (CV)0.7414810209
Kurtosis1.335223852
Mean0.3059874608
Median Absolute Deviation (MAD)0.12
Skewness1.219286065
Sum97.61
Variance0.05147630173
MonotonicityNot monotonic
2022-03-11T04:04:37.946845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1912
 
0.6%
0.110
 
0.5%
0.1410
 
0.5%
0.179
 
0.5%
0.119
 
0.5%
0.169
 
0.5%
0.389
 
0.5%
0.099
 
0.5%
08
 
0.4%
18
 
0.4%
Other values (67)226
 
11.3%
(Missing)1675
84.0%
ValueCountFrequency (%)
08
0.4%
0.012
 
0.1%
0.024
0.2%
0.032
 
0.1%
0.044
0.2%
ValueCountFrequency (%)
18
0.4%
0.991
 
0.1%
0.971
 
0.1%
0.921
 
0.1%
0.91
 
0.1%

LandArea numeric
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06523069208
Minimum0
Maximum1
Zeros72
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.047285image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.04
Q30.07
95-th percentile0.2
Maximum1
Range1
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.1094591545
Coefficient of variation (CV)1.678031477
Kurtosis40.41714898
Mean0.06523069208
Median Absolute Deviation (MAD)0.02
Skewness5.707651561
Sum130.07
Variance0.01198130651
MonotonicityNot monotonic
2022-03-11T04:04:38.138469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01323
16.2%
0.02311
15.6%
0.03263
13.2%
0.04190
9.5%
0.05143
7.2%
0.06140
7.0%
0.0797
 
4.9%
0.0878
 
3.9%
072
 
3.6%
0.0965
 
3.3%
Other values (51)312
15.6%
ValueCountFrequency (%)
072
 
3.6%
0.01323
16.2%
0.02311
15.6%
0.03263
13.2%
0.04190
9.5%
ValueCountFrequency (%)
110
0.5%
0.991
 
0.1%
0.971
 
0.1%
0.951
 
0.1%
0.911
 
0.1%

PopDens numeric
Real number (ℝ≥0)

Distinct96
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2328535607
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.233618image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q10.1
median0.17
Q30.28
95-th percentile0.687
Maximum1
Range1
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.2030918355
Coefficient of variation (CV)0.872186944
Kurtosis3.916651465
Mean0.2328535607
Median Absolute Deviation (MAD)0.08
Skewness1.948095857
Sum464.31
Variance0.04124629365
MonotonicityNot monotonic
2022-03-11T04:04:38.330897image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0986
 
4.3%
0.1279
 
4.0%
0.1474
 
3.7%
0.0873
 
3.7%
0.1372
 
3.6%
0.0672
 
3.6%
0.1572
 
3.6%
0.1167
 
3.4%
0.1665
 
3.3%
0.1964
 
3.2%
Other values (86)1270
63.7%
ValueCountFrequency (%)
02
 
0.1%
0.013
 
0.2%
0.0227
1.4%
0.0337
1.9%
0.0450
2.5%
ValueCountFrequency (%)
135
1.8%
0.991
 
0.1%
0.983
 
0.2%
0.972
 
0.1%
0.941
 
0.1%

PctUsePubTrans numeric
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1616850552
Minimum0
Maximum1
Zeros183
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.421959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.07
Q30.19
95-th percentile0.73
Maximum1
Range1
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.2290547979
Coefficient of variation (CV)1.416672665
Kurtosis4.581209269
Mean0.1616850552
Median Absolute Deviation (MAD)0.06
Skewness2.225457794
Sum322.4
Variance0.05246610046
MonotonicityNot monotonic
2022-03-11T04:04:38.513590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01220
 
11.0%
0183
 
9.2%
0.02164
 
8.2%
0.03117
 
5.9%
0.04111
 
5.6%
0.0593
 
4.7%
0.0680
 
4.0%
0.0776
 
3.8%
0.0856
 
2.8%
0.0954
 
2.7%
Other values (88)840
42.1%
ValueCountFrequency (%)
0183
9.2%
0.01220
11.0%
0.02164
8.2%
0.03117
5.9%
0.04111
5.6%
ValueCountFrequency (%)
148
2.4%
0.985
 
0.3%
0.972
 
0.1%
0.962
 
0.1%
0.952
 
0.1%

PolicCars numeric
Real number (ℝ≥0)

MISSING

Distinct63
Distinct (%)19.7%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.1631034483
Minimum0
Maximum1
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.618380image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.04
median0.08
Q30.195
95-th percentile0.68
Maximum1
Range1
Interquartile range (IQR)0.155

Descriptive statistics

Standard deviation0.2147781332
Coefficient of variation (CV)1.316821535
Kurtosis4.96174393
Mean0.1631034483
Median Absolute Deviation (MAD)0.05
Skewness2.271857955
Sum52.03
Variance0.0461296465
MonotonicityNot monotonic
2022-03-11T04:04:38.707725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0227
 
1.4%
0.0426
 
1.3%
0.0526
 
1.3%
0.0623
 
1.2%
0.0320
 
1.0%
0.0814
 
0.7%
0.0914
 
0.7%
0.0114
 
0.7%
0.0713
 
0.7%
0.1111
 
0.6%
Other values (53)131
 
6.6%
(Missing)1675
84.0%
ValueCountFrequency (%)
010
 
0.5%
0.0114
0.7%
0.0227
1.4%
0.0320
1.0%
0.0426
1.3%
ValueCountFrequency (%)
16
0.3%
0.981
 
0.1%
0.921
 
0.1%
0.891
 
0.1%
0.821
 
0.1%

PolicOperBudg numeric
Real number (ℝ≥0)

MISSING

Distinct38
Distinct (%)11.9%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.07670846395
Minimum0
Maximum1
Zeros9
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.800513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.03
Q30.06
95-th percentile0.34
Maximum1
Range1
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.1402069886
Coefficient of variation (CV)1.827790329
Kurtosis20.35666354
Mean0.07670846395
Median Absolute Deviation (MAD)0.02
Skewness4.153317074
Sum24.47
Variance0.01965799965
MonotonicityNot monotonic
2022-03-11T04:04:38.882225image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0269
 
3.5%
0.0152
 
2.6%
0.0348
 
2.4%
0.0431
 
1.6%
0.0520
 
1.0%
0.0612
 
0.6%
0.0710
 
0.5%
09
 
0.5%
0.097
 
0.4%
0.087
 
0.4%
Other values (28)54
 
2.7%
(Missing)1675
84.0%
ValueCountFrequency (%)
09
 
0.5%
0.0152
2.6%
0.0269
3.5%
0.0348
2.4%
0.0431
1.6%
ValueCountFrequency (%)
13
0.2%
0.721
 
0.1%
0.641
 
0.1%
0.622
0.1%
0.581
 
0.1%

LemasPctPolicOnPatr numeric
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)22.6%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.6985893417
Minimum0
Maximum1
Zeros9
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:38.980125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.217
Q10.62
median0.75
Q30.84
95-th percentile0.93
Maximum1
Range1
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.2139436916
Coefficient of variation (CV)0.3062510101
Kurtosis2.544809878
Mean0.6985893417
Median Absolute Deviation (MAD)0.1
Skewness-1.58987694
Sum222.85
Variance0.04577190316
MonotonicityNot monotonic
2022-03-11T04:04:39.076471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7413
 
0.7%
0.8413
 
0.7%
0.7913
 
0.7%
0.811
 
0.6%
0.7810
 
0.5%
0.8610
 
0.5%
0.8310
 
0.5%
0.8110
 
0.5%
0.7510
 
0.5%
0.79
 
0.5%
Other values (62)210
 
10.5%
(Missing)1675
84.0%
ValueCountFrequency (%)
09
0.5%
0.011
 
0.1%
0.071
 
0.1%
0.091
 
0.1%
0.11
 
0.1%
ValueCountFrequency (%)
11
 
0.1%
0.991
 
0.1%
0.983
0.2%
0.972
0.1%
0.963
0.2%

LemasGangUnitDeploy numeric
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)0.9%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.4404388715
Minimum0
Maximum1
Zeros126
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:39.147862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4058082182
Coefficient of variation (CV)0.9213723957
Kurtosis-1.448657095
Mean0.4404388715
Median Absolute Deviation (MAD)0.5
Skewness0.2213607655
Sum140.5
Variance0.1646803099
MonotonicityNot monotonic
2022-03-11T04:04:39.216434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0126
 
6.3%
0.5105
 
5.3%
188
 
4.4%
(Missing)1675
84.0%
ValueCountFrequency (%)
0126
6.3%
0.5105
5.3%
188
4.4%
ValueCountFrequency (%)
188
4.4%
0.5105
5.3%
0126
6.3%

LemasPctOfficDrugUn numeric
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09405215647
Minimum0
Maximum1
Zeros1685
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:39.554741image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.71
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2403282779
Coefficient of variation (CV)2.555266003
Kurtosis5.46215193
Mean0.09405215647
Median Absolute Deviation (MAD)0
Skewness2.55424615
Sum187.54
Variance0.05775768117
MonotonicityNot monotonic
2022-03-11T04:04:39.647292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01685
84.5%
148
 
2.4%
0.519
 
0.5%
0.369
 
0.5%
0.618
 
0.4%
0.458
 
0.4%
0.437
 
0.4%
0.377
 
0.4%
0.567
 
0.4%
0.527
 
0.4%
Other values (70)199
 
10.0%
ValueCountFrequency (%)
01685
84.5%
0.051
 
0.1%
0.11
 
0.1%
0.131
 
0.1%
0.161
 
0.1%
ValueCountFrequency (%)
148
2.4%
0.993
 
0.2%
0.982
 
0.1%
0.971
 
0.1%
0.961
 
0.1%

PolicBudgPerPop numeric
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)16.0%
Missing1675
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean0.1950783699
Minimum0
Maximum1
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:39.738202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q10.11
median0.15
Q30.22
95-th percentile0.483
Maximum1
Range1
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.1647179125
Coefficient of variation (CV)0.8443678946
Kurtosis12.11213822
Mean0.1950783699
Median Absolute Deviation (MAD)0.05
Skewness3.222583034
Sum62.23
Variance0.02713199069
MonotonicityNot monotonic
2022-03-11T04:04:39.838597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1222
 
1.1%
0.120
 
1.0%
0.1418
 
0.9%
0.1517
 
0.9%
0.1617
 
0.9%
0.1316
 
0.8%
0.1116
 
0.8%
0.1916
 
0.8%
0.0915
 
0.8%
0.1814
 
0.7%
Other values (41)148
 
7.4%
(Missing)1675
84.0%
ValueCountFrequency (%)
02
0.1%
0.011
 
0.1%
0.023
0.2%
0.031
 
0.1%
0.043
0.2%
ValueCountFrequency (%)
16
0.3%
0.991
 
0.1%
0.821
 
0.1%
0.761
 
0.1%
0.731
 
0.1%

ViolentCrimesPerPop numeric
Real number (ℝ≥0)

Distinct98
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2379789368
Minimum0
Maximum1
Zeros10
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2022-03-11T04:04:39.922324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.07
median0.15
Q30.33
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.2329849017
Coefficient of variation (CV)0.9790148021
Kurtosis1.833267953
Mean0.2379789368
Median Absolute Deviation (MAD)0.1
Skewness1.522598486
Sum474.53
Variance0.05428196443
MonotonicityNot monotonic
2022-03-11T04:04:40.017329image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03104
 
5.2%
0.0492
 
4.6%
0.0686
 
4.3%
0.0580
 
4.0%
0.0274
 
3.7%
0.0969
 
3.5%
0.164
 
3.2%
0.0763
 
3.2%
0.1263
 
3.2%
0.0863
 
3.2%
Other values (88)1236
62.0%
ValueCountFrequency (%)
010
 
0.5%
0.0138
 
1.9%
0.0274
3.7%
0.03104
5.2%
0.0492
4.6%
ValueCountFrequency (%)
144
2.2%
0.972
 
0.1%
0.961
 
0.1%
0.952
 
0.1%
0.941
 
0.1%